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Rahul-Choudhary-3614 / Deep-Reinforcement-Learning-Notebooks

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This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

deep-reinforcement-learning rainbow doom dqn sarsa a3c ddqn ddpg-algorithm ppo a2c prioritized-experience-replay cartpole-v0 noisy-networks soft-actor-critic half-cheetah kungfumaster-v0 ant-v2 reinforce-algorithm
  • Updated Apr 24, 2021
  • Jupyter Notebook

legalaspro / rl-odyssey

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RL-Odyssey is a research framework for continuous control that implements state-of-the-art RL algorithms (SAC, TD3, PPO, etc.) with clean experiment scripts and interactive notebooks.

reinforcement-learning deep-learning deep-reinforcement-learning pytorch policy-gradient a3c ddpg sac gymnasium continuous-control actor-critic trpo mujoco trust-region-policy-optimization proximal-policy-optimization ppo alphazero td3 dm-control soft-actor-critic
  • Updated Mar 25, 2025
  • Jupyter Notebook

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