Khrylx / PyTorch-RLLinks
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
☆1,239Updated 4 years ago
Alternatives and similar repositories for PyTorch-RL
Users that are interested in PyTorch-RL are comparing it to the libraries listed below
Sorting:
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,324Updated last year
- PyTorch implementation of soft actor critic☆898Updated last month
- Simple A3C implementation with pytorch + multiprocessing☆650Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆682Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆762Updated last year
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆616Updated 7 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,284Updated 5 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,641Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,272Updated 5 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,930Updated 2 years ago
- Soft Actor-Critic☆1,123Updated last year
- Collection of reinforcement learning algorithms☆2,743Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆347Updated 5 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,033Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,180Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆447Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆637Updated 4 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆412Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆759Updated 3 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆407Updated 7 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆713Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,067Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆495Updated 3 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆642Updated last year
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆863Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆596Updated 7 years ago
- Implementation of benchmark RL algorithms☆468Updated 3 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆531Updated 7 years ago