TRPO (Trust Region Policy Optimization) : In depth Research Paper Review

Опубликовано: 16 Июль 2026
на канале: Crazymuse
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Trust Region Policy Optimization is a fundamental paper for people working in Deep Reinforcement Learning (along with PPO or Proximal Policy Optimization) . From training Mujoco to games, TRPO has been the goto choice. It is implemented by both Unity-ML as well as OpenAI Baselines.

At 2 minute 52 seconds, the equation on right is pi a|s and not pi s|a. (minor mistake.)

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In the comment section, do mention the research paper in Deep Learning or Deep RL which you want to see up next :)


Arxiv Link to the paper: https://arxiv.org/abs/1502.05477

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