Reinforcement learning
Field of machine learning
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Reinforcement Learning (39) · reinforcement learning (15) · Large Language Models (8) · arXiv (7) · Artificial Intelligence (5) · Machine Learning (5) · Reinforcement learning (5) · machine learning (4) · AI Research (4) · artificial intelligence (3) · Robotics (2) · decision-making (2) · LLM (2) · AI (2) · exploration (2) · AI agents (2) · Large Reasoning Models (2) · Machine Learning Research (2) · AI Reasoning (2) · Open-weight Models (2)
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📰 Related News (64)
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🇺🇸 KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance
arXiv:2604.12627v1 Announce Type: new Abstract: RLVR improves reasoning in large language models, but its effectiveness is often limited by severe re...
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🇺🇸 Discrete Flow Matching Policy Optimization
arXiv:2604.06491v1 Announce Type: cross Abstract: We introduce Discrete flow Matching policy Optimization (DoMinO), a unified framework for Reinforce...
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🇺🇸 TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning
arXiv:2603.03072v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used to assist scientists across diverse workflows....
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🇺🇸 HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation
arXiv:2603.23871v1 Announce Type: cross Abstract: Large language models trained with reinforcement learning (RL) for mathematical reasoning face a fu...
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🇺🇸 AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling
arXiv:2603.21357v1 Announce Type: new Abstract: LLM agents fail on the majority of real-world tasks -- GPT-4o succeeds on fewer than 15% of WebArena ...
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🇺🇸 HPS: Hard Preference Sampling for Human Preference Alignment
arXiv:2502.14400v5 Announce Type: replace Abstract: Aligning Large Language Model (LLM) responses with human preferences is vital for building safe a...
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🇺🇸 World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
arXiv:2509.19080v2 Announce Type: replace-cross Abstract: Robotic manipulation policies are commonly initialized through imitation learning, but thei...
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🇺🇸 CircuitBuilder: From Polynomials to Circuits via Reinforcement Learning
arXiv:2603.17075v1 Announce Type: cross Abstract: Motivated by auto-proof generation and Valiant's VP vs. VNP conjecture, we study the problem of dis...
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🇺🇸 DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
arXiv:2603.16157v1 Announce Type: cross Abstract: While Reinforcement Learning (RL) enhances Large Language Model reasoning, on-policy algorithms lik...
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🇺🇸 CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
arXiv:2603.15771v1 Announce Type: cross Abstract: Autonomous driving requires safe planning, but most learning-based planners lack explicit self-corr...
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🇺🇸 Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
arXiv:2603.13985v1 Announce Type: new Abstract: Pre-trained Large Language Model (LLM) exhibits broad capabilities, yet, for specific tasks or domain...
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🇺🇸 Guided Policy Optimization under Partial Observability
arXiv:2505.15418v2 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) in partially observable environments poses significant challeng...
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🇺🇸 SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object Tokens
arXiv:2508.09325v4 Announce Type: replace-cross Abstract: Visual reinforcement learning policies trained on pixel observations often struggle to gene...
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🇺🇸 CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
arXiv:2510.14959v4 Announce Type: replace-cross Abstract: Reinforcement learning (RL), while powerful and expressive, can often prioritize performanc...
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🇺🇸 On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents
arXiv:2603.12109v1 Announce Type: new Abstract: Reinforcement learning (RL) with outcome-based rewards has achieved significant success in training l...
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🇺🇸 STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure Transformer for Offline Multi-task Multi-agent Reinforcement Learning
arXiv:2603.11691v1 Announce Type: new Abstract: Offline multi-agent reinforcement learning (MARL) with multi-task datasets is challenging due to vary...
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🇺🇸 Novelty Adaptation Through Hybrid Large Language Model (LLM)-Symbolic Planning and LLM-guided Reinforcement Learning
arXiv:2603.11351v1 Announce Type: cross Abstract: In dynamic open-world environments, autonomous agents often encounter novelties that hinder their a...
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🇺🇸 IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL
arXiv:2603.12151v1 Announce Type: cross Abstract: While scaling laws guide compute allocation for LLM pre-training, analogous prescriptions for reinf...
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🇺🇸 Reinforcement Learning with Conditional Expectation Reward
arXiv:2603.10624v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective in enhancing the reasoni...
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🇺🇸 Reinforcement Learning for Self-Improving Agent with Skill Library
arXiv:2512.17102v2 Announce Type: replace Abstract: Large Language Model (LLM)-based agents have demonstrated remarkable capabilities in complex reas...
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🇺🇸 FuzzingRL: Reinforcement Fuzz-Testing for Revealing VLM Failures
arXiv:2603.06600v1 Announce Type: cross Abstract: Vision Language Models (VLMs) are prone to errors, and identifying where these errors occur is crit...
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🇺🇸 $\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solving
arXiv:2603.07197v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has shown promise in enhancing the reasoning pe...
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🇺🇸 CORE-Seg: Reasoning-Driven Segmentation for Complex Lesions via Reinforcement Learning
arXiv:2603.05911v1 Announce Type: cross Abstract: Medical image segmentation is undergoing a paradigm shift from conventional visual pattern matching...
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🇺🇸 Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport
arXiv:2603.06278v1 Announce Type: new Abstract: Climate change is expected to intensify rainfall and, consequently, pluvial flooding, leading to incr...
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🇺🇸 Boosting deep Reinforcement Learning using pretraining with Logical Options
arXiv:2603.06565v1 Announce Type: new Abstract: Deep reinforcement learning agents are often misaligned, as they over-exploit early reward signals. R...
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🇺🇸 Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction
arXiv:2603.04783v1 Announce Type: new Abstract: While LLMs demonstrate strong reasoning capabilities when provided with full information in a single ...
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🇺🇸 KARL: Knowledge Agents via Reinforcement Learning
arXiv:2603.05218v1 Announce Type: new Abstract: We present a system for training enterprise search agents via reinforcement learning that achieves st...
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🇺🇸 Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning
arXiv:2603.04597v1 Announce Type: cross Abstract: Large language models (LLMs) typically receive diverse natural language (NL) feedback through inter...
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🇺🇸 Stable Adaptive Thinking via Advantage Shaping and Length-Aware Gradient Regulation
arXiv:2602.22556v1 Announce Type: cross Abstract: Large reasoning models (LRMs) achieve strong performance through extended reasoning traces, but the...
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🇺🇸 Reinforcement-aware Knowledge Distillation for LLM Reasoning
arXiv:2602.22495v1 Announce Type: cross Abstract: Reinforcement learning (RL) post-training has recently driven major gains in long chain-of-thought ...
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🇺🇸 Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection
arXiv:2602.22297v1 Announce Type: cross Abstract: Reinforcement learning (RL) offers significant promise for machinery fault detection (MFD). However...
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🇺🇸 UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs
arXiv:2602.22296v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has improved the reasoning abilities of large...
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🇺🇸 A Model-Free Universal AI
arXiv:2602.23242v1 Announce Type: new Abstract: In general reinforcement learning, all established optimal agents, including AIXI, are model-based, e...
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🇺🇸 Learning-based Multi-agent Race Strategies in Formula 1
arXiv:2602.23056v1 Announce Type: new Abstract: In Formula 1, race strategies are adapted according to evolving race conditions and competitors' acti...
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🇺🇸 FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning
arXiv:2602.22963v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have substantially advanced video misinformation detection t...
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🇺🇸 Know What You Know: Metacognitive Entropy Calibration for Verifiable RL Reasoning
arXiv:2602.22751v1 Announce Type: new Abstract: Large reasoning models (LRMs) have emerged as a powerful paradigm for solving complex real-world task...
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🇺🇸 Agentic AI for Intent-driven Optimization in Cell-free O-RAN
arXiv:2602.22539v1 Announce Type: new Abstract: Agentic artificial intelligence (AI) is emerging as a key enabler for autonomous radio access network...
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🇺🇸 OptiLeak: Efficient Prompt Reconstruction via Reinforcement Learning in Multi-tenant LLM Services
arXiv:2602.20595v1 Announce Type: cross Abstract: Multi-tenant LLM serving frameworks widely adopt shared Key-Value caches to enhance efficiency. How...
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🇺🇸 What Matters for Simulation to Online Reinforcement Learning on Real Robots
arXiv:2602.20220v1 Announce Type: cross Abstract: We investigate what specific design choices enable successful online reinforcement learning (RL) on...
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🇺🇸 PyVision-RL: Forging Open Agentic Vision Models via RL
arXiv:2602.20739v1 Announce Type: new Abstract: Reinforcement learning for agentic multimodal models often suffers from interaction collapse, where m...
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🇺🇸 From Logs to Language: Learning Optimal Verbalization for LLM-Based Recommendation in Production
arXiv:2602.20558v1 Announce Type: new Abstract: Large language models (LLMs) are promising backbones for generative recommender systems, yet a key ch...
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🇺🇸 Safe Reinforcement Learning for Real-World Engine Control
arXiv:2501.16613v2 Announce Type: replace-cross Abstract: This work introduces a toolchain for applying Reinforcement Learning (RL), specifically the...
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🇺🇸 Cooperative-Competitive Team Play of Real-World Craft Robots
arXiv:2602.21119v1 Announce Type: cross Abstract: Multi-agent deep Reinforcement Learning (RL) has made significant progress in developing intelligen...
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🇺🇸 The Art of Efficient Reasoning: Data, Reward, and Optimization
arXiv:2602.20945v1 Announce Type: cross Abstract: Large Language Models (LLMs) consistently benefit from scaled Chain-of-Thought (CoT) reasoning, but...
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🇺🇸 Regret-Guided Search Control for Efficient Learning in AlphaZero
arXiv:2602.20809v1 Announce Type: cross Abstract: Reinforcement learning (RL) agents achieve remarkable performance but remain far less learning-effi...
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🇺🇸 SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
arXiv:2602.20751v1 Announce Type: cross Abstract: Designing aligned and robust rewards for open-ended generation remains a key barrier to RL post-tra...
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🇺🇸 TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer
arXiv:2602.20643v1 Announce Type: cross Abstract: Mobility trajectories are essential for understanding urban dynamics and enhancing urban planning, ...
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🇺🇸 Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning
arXiv:2602.20197v1 Announce Type: cross Abstract: Reinforcement Learning with verifiable rewards (RLVR) has emerged as a primary learning paradigm fo...
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🇺🇸 KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning
arXiv:2602.20494v1 Announce Type: new Abstract: Driven by the increasingly complex and decision-oriented demands of time series analysis, we introduc...
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🇺🇸 Diffusion Modulation via Environment Mechanism Modeling for Planning
arXiv:2602.20422v1 Announce Type: new Abstract: Diffusion models have shown promising capabilities in trajectory generation for planning in offline r...
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🇺🇸 Continuously hardening ChatGPT Atlas against prompt injection
OpenAI is strengthening ChatGPT Atlas against prompt injection attacks using automated red teaming trained with reinforcement learning. This proactive...
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🇺🇸 Value Bonuses using Ensemble Errors for Exploration in Reinforcement Learning
arXiv:2602.12375v1 Announce Type: cross Abstract: Optimistic value estimates provide one mechanism for directed exploration in reinforcement learning...
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🇺🇸 Reasoning about Intent for Ambiguous Requests
arXiv:2511.10453v2 Announce Type: replace-cross Abstract: Large language models often respond to ambiguous requests by implicitly committing to one i...
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🇺🇸 Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics
arXiv:2602.12643v1 Announce Type: cross Abstract: We present Unified Latent Dynamics (ULD), a novel reinforcement learning algorithm that unifies the...
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🇺🇸 ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training
arXiv:2602.12691v1 Announce Type: cross Abstract: We study how to improve large foundation vision-language-action (VLA) systems through online reinfo...
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🇺🇸 PMG: Parameterized Motion Generator for Human-like Locomotion Control
arXiv:2602.12656v1 Announce Type: cross Abstract: Recent advances in data-driven reinforcement learning and motion tracking have substantially improv...
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🇺🇸 Intrinsic Credit Assignment for Long Horizon Interaction
arXiv:2602.12342v1 Announce Type: cross Abstract: How can we train agents to navigate uncertainty over long horizons? In this work, we propose {\Delt...
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🇺🇸 VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction
arXiv:2602.12579v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a dominant paradigm for enhanc...
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🇺🇸 Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
arXiv:2602.12517v1 Announce Type: cross Abstract: The intersection of Mean Field Games (MFGs) and Reinforcement Learning (RL) has fostered a growing ...
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🇺🇸 Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics Models
arXiv:2602.12444v1 Announce Type: cross Abstract: Reinforcement learning (RL) is a powerful framework for optimal decision-making and control but oft...
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🇺🇸 What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis
arXiv:2602.12395v1 Announce Type: cross Abstract: Reinforcement learning (RL) with verifiable rewards has become a standard post-training stage for b...
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🇺🇸 Adaptive traffic signal control optimization using a novel road partition and multi-channel state representation method
arXiv:2602.12296v1 Announce Type: cross Abstract: This study proposes a novel adaptive traffic signal control method leveraging a Deep Q-Network (DQN...
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🇺🇸 GeoAgent: Learning to Geolocate Everywhere with Reinforced Geographic Characteristics
arXiv:2602.12617v1 Announce Type: new Abstract: This paper presents GeoAgent, a model capable of reasoning closely with humans and deriving fine-grai...
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🇺🇸 To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models
arXiv:2602.12566v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) plays a key role in stimulating the explicit re...
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People and organizations frequently mentioned alongside Reinforcement learning:
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Large language model · 11 shared articles
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Artificial intelligence · 9 shared articles -
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Machine learning · 4 shared articles
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AI agent · 3 shared articles
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Science Publishing Group · 2 shared articles
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Reasoning model · 2 shared articles
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Robotics · 2 shared articles -
Educational technology · 2 shared articles -
Geopositioning · 1 shared articles -
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Motion tracking · 1 shared articles