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Coding_Reinforcement_Learning

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Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)

algorithms atari blackjack-game dqn grid-world monte-carlo-methods monte-carlo-simulation policy-evaluation policy-gradient policy-iteration pong reinforcement-learning rl-steps

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Name		Name	Last commit message	Last commit date
.ipynb_checkpoints		.ipynb_checkpoints
DDPG		DDPG
DQN		DQN
Dynamic Programming		Dynamic Programming
Monte Carlo		Monte Carlo
Policy Gradients		Policy Gradients
LICENSE		LICENSE
README.md		README.md

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Coding the RL elements

Implementation of basic RL steps and algorithms with my personal snippets/notes in jupyter notebook.

References -

Intro to RL - Sutton & Barto
Denny Britz RL Repo - blackjack.py, gridworld.py, plotting.py

About

Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)

algorithms atari blackjack-game dqn grid-world monte-carlo-methods monte-carlo-simulation policy-evaluation policy-gradient policy-iteration pong reinforcement-learning rl-steps

3 stars

1 watching

Report repository

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