#Policy Optimization
Latest news articles tagged with "Policy Optimization". Follow the timeline of events, related topics, and entities.
Articles (3)
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🇺🇸 Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
[USA]
arXiv:2603.12960v1 Announce Type: cross Abstract: Residual policy learning (RPL), in which a learned policy refines a static base policy using deep reinforcement learning (DRL), has shown strong perf...
Related: #Autonomous Racing -
🇺🇸 Optimize Wider, Not Deeper: Consensus Aggregation for Policy Optimization
[USA]
arXiv:2603.12596v1 Announce Type: cross Abstract: Proximal policy optimization (PPO) approximates the trust region update using multiple epochs of clipped SGD. Each epoch may drift further from the n...
Related: #Consensus Building -
🇺🇸 MARS: Margin-Aware Reward-Modeling with Self-Refinement
[USA]
arXiv:2602.17658v1 Announce Type: cross Abstract: Reward modeling is a core component of modern alignment pipelines including RLHF and RLAIF, underpinning policy optimization methods including PPO an...
Related: #Reward Modeling, #Human Preference Data, #Data Augmentation, #Margin‑Aware Techniques
About the topic: Policy Optimization
The topic "Policy Optimization" aggregates 3+ news articles from various countries.