Arash Ahmadian on Rethinking RLHF
TalkRL: The Reinforcement Learning Podcast
Comparing Reinforce and Vanilla Policy Gradient in Deep RL Optimization
Exploring the distinctions between reinforced and vanilla policy gradient in reinforcement learning, focusing on variance bias trade-off, advantages of using learned baseline, and insights into PPO optimization in deep RL settings.
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