TianhongDai / reinforcement-learning-algorithmsLinks
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
☆691Updated 3 weeks ago
Alternatives and similar repositories for reinforcement-learning-algorithms
Users that are interested in reinforcement-learning-algorithms are comparing it to the libraries listed below
Sorting:
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,267Updated 4 years ago
- Simple A3C implementation with pytorch + multiprocessing☆658Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆729Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆614Updated 8 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆357Updated 5 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆451Updated 4 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆420Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,391Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆739Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆766Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,193Updated 3 years ago
- Implementation of benchmark RL algorithms☆472Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆689Updated 7 years ago
- Mean Field Multi-Agent Reinforcement Learning☆414Updated 5 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆625Updated 7 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆782Updated 3 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆654Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,324Updated 10 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,661Updated 4 years ago
- Structural implementation of RL key algorithms☆516Updated 2 years ago
- PyTorch implementation of soft actor critic☆931Updated 6 months ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Updated 3 years ago
- TensorFlow2 Reinforcement Learning☆475Updated 3 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆660Updated last year
- A collection of multi agent environments based on OpenAI gym.☆626Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,311Updated 6 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆420Updated 4 years ago