Analysis of On-policy Policy Gradient Methods under the Distribution Mismatch

arXiv:2503.22244 · cs.LG, math.OC · Submitted 2025-03-28 · Read on arXiv

cs.LG, math.OC

Submitted: 2025-03-28

Updated: 2026-10-22

Terminology

• Parameterization — 46× in this paper · explained in 2 episodes
• Reinforcement Learning — 12× in this paper · explained in 4 episodes
• Actor — 10× in this paper · explained in 3 episodes
• Robustness — 5× in this paper · explained in 6 episodes
• Action Space — 4× in this paper · explained in 1 episode
• Objective Function — 4× in this paper · explained in 2 episodes
• Distribution Shift — 3× in this paper · explained in 10 episodes
• Proximal Policy Optimization — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Actor-Critic Algorithm — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 8 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes

Sources

• Gymnasium: A Standard Interface for Reinforcement Learning Environments

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