← curriculum/phase 9 · Reinforcement Learning

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phase 9 · 12 lessons

01Mdps States Actions Rewards
02Dynamic Programming
03Monte Carlo Methods
04Q Learning Sarsa
05Dqn
06Policy Gradients Reinforce
07Actor Critic A2c A3c
08Ppo
09Reward Modeling Rlhf
10Multi Agent Rl
11Sim To Real Transfer
12Rl For Games

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phase 9 · lesson 02 of 12

Dynamic Programming

02-dynamic-programming·full lesson folder ↗

Mdps States Actions Rewards

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Monte Carlo Methods