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phase 9

Reinforcement Learning

12 lessons · click any to read the docs

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01
Mdps States Actions Rewards
01-mdps-states-actions-rewards
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02
Dynamic Programming
02-dynamic-programming
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03
Monte Carlo Methods
03-monte-carlo-methods
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04
Q Learning Sarsa
04-q-learning-sarsa
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05
Dqn
05-dqn
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06
Policy Gradients Reinforce
06-policy-gradients-reinforce
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07
Actor Critic A2c A3c
07-actor-critic-a2c-a3c
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08
Ppo
08-ppo
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09
Reward Modeling Rlhf
09-reward-modeling-rlhf
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10
Multi Agent Rl
10-multi-agent-rl
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11
Sim To Real Transfer
11-sim-to-real-transfer
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12
Rl For Games
12-rl-for-games
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