deep-rl-implementations

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akashe / DeepReinforcementLearning

Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.

algorithms ddpg sac ppo td3 pytorch-implementation pendulum-v0 lunarlander-v2 vpg ppo-pytorch deep-rl-implementations

Updated Sep 4, 2025
Python

SaiSampathKedari / Deep-Reinforcement-Learning

Star

Deep Reinforcement Learning from mathematical foundations to PyTorch implementations: rigorous proofs, step-by-step derivations of objectives and gradient estimators, and reproducible experiments on Gymnasium and MuJoCo benchmarks spanning policy gradients, actor-critic methods, value-based learning, and continuous control.

reinforcement-learning deep-reinforcement-learning policy-gradient reinforcement-learning-algorithms gymnasium robot-learning actor-critic deep-rl-algorithms advantage-actor-critic a2c generalized-advantage-estimation deep-rl-implementations sutton-barto

Updated Aug 9, 2026
Python

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