Intro to Reinforcement Learning — DL4Sci 2026

1. Why RL, Why Now
2. Fundamentals: MDPs & Bellman
3. Deep RL: DQN → PPO
4. RL for LLMs, Reasoning & Agents
5. RL in Science
6. Wrap-Up & Resources

3.3 Model-Based Deep RL

Model-Based Deep RL

Model-Based Deep RL#

The Policy-Gradient Zoo, Organized 4. RL for LLMs, Reasoning & Agents

Model-Based Deep RL