qfettes / DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
☆1,054Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepRL-Tutorials
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,105Updated 3 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆665Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,230Updated 5 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,215Updated 11 months ago
- Collection of reinforcement learning algorithms☆2,498Updated 4 months ago
- Simple A3C implementation with pytorch + multiprocessing☆617Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,120Updated 11 months ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,869Updated 9 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,233Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,594Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆491Updated 2 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,707Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,027Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,186Updated 6 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,256Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆529Updated last week
- PyTorch implementation of soft actor critic☆813Updated 3 years ago
- Soft Actor-Critic☆998Updated 11 months ago
- Implementation of benchmark RL algorithms☆459Updated 2 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆860Updated 3 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆302Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆572Updated 6 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆526Updated 6 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆562Updated last year
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆392Updated 3 years ago
- For deep RL and the future of AI.☆1,420Updated 8 months ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆441Updated 5 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆368Updated 5 years ago