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Learn Fast Policy gradient RL Algorithms

What you'll be able to do

Learn the policy-optimization methods behind robotics and modern RL — the same family that powers RLHF for LLMs.

⌁ Backbone of RLHF for LLMs (OpenAI, Anthropic, Google), robotics, and game AI (OpenAI Five); ships in Stable-Baselines3, RLlib, TRL.
Start this internship
Create an account to unlock the 4 sections, the workbench, and AskThili.
Begin

Sections

1. Learn Fast Policy gradient RL Algorithms
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2. Policy Gradient Methods
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3. REINFORCE Algorithm
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4. Train Policy Network with REINFORCE
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Dig deeper

📄Policy Gradient Methods for RL with Function Approximation (Sutton et al., 1999)
paper
🔗Intro to Policy Optimization — OpenAI Spinning Up
article