DDPG

Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control

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Implement DNN or ML models and advanced policies with PyTorch.(Include experiment)

Grokking Deep Reinforcement Learning

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including tra...

Showcasing various fun adventures with GANs

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Pytorch Implementation of Twin Delayed Deep Deterministic Policy Gradients for Continuous Control

Like dopamine, but for different algorithms

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) a...

Modularized Implementation of Deep RL Algorithms in PyTorch