Proximal policy optimization
Model-free reinforcement learning algorithm
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🏷️ Keywords
Deep Reinforcement Learning (1) · Graph Neural Networks (1) · Parallel Machine Scheduling (1) · Proximal Policy Optimization (1) · Industrial Automation (1) · UPMSP (1)
📖 Key Information
Proximal policy optimization (PPO) is a reinforcement learning (RL) algorithm for training an intelligent agent. Specifically, it is a policy gradient method, often used for deep RL when the policy network is very large.
📰 Related News (1)
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🇺🇸 Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling
arXiv:2602.08052v1 Announce Type: new Abstract: The Unrelated Parallel Machine Scheduling Problem (UPMSP) with release dates, setups, and eligibility...
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