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.
☆1,271Updated 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:
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,399Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- PyTorch implementation of soft actor critic☆931Updated 6 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆768Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,312Updated 6 years ago
- Simple A3C implementation with pytorch + multiprocessing☆659Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆692Updated last month
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆627Updated 7 years ago
- Collection of reinforcement learning algorithms☆2,851Updated last year
- Soft Actor-Critic☆1,200Updated 2 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,061Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,327Updated 10 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,025Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,662Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,195Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆656Updated 4 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆420Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆357Updated 5 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆426Updated 8 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆661Updated last year
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆555Updated 7 years ago
- Reinforcement Learning in PyTorch☆2,276Updated 5 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,150Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆729Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆689Updated 7 years ago
- A collection of reference environments for offline reinforcement learning☆1,641Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆611Updated 8 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆371Updated 6 years ago