ikostrikov / pytorch-a2c-ppo-acktr-gailLinks
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
☆3,845Updated 3 years ago
Alternatives and similar repositories for pytorch-a2c-ppo-acktr-gail
Users that are interested in pytorch-a2c-ppo-acktr-gail are comparing it to the libraries listed below
Sorting:
- Collection of reinforcement learning algorithms☆2,793Updated last year
 - Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,974Updated 2 years ago
 - PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,299Updated 6 years ago
 - Modularized Implementation of Deep RL Algorithms in PyTorch☆3,364Updated last year
 - Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,652Updated 3 years ago
 - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,134Updated 3 years ago
 - PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,256Updated 4 years ago
 - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,351Updated last year
 - Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
 - Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,989Updated last month
 - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,219Updated last year
 - PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,481Updated 2 years ago
 - Python Multi-Agent Reinforcement Learning framework☆2,104Updated 2 years ago
 - Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
 - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,316Updated 3 years ago
 - A toolkit for reproducible reinforcement learning research.☆2,042Updated 2 years ago
 - Simple and easily configurable grid world environments for reinforcement learning☆2,347Updated last week
 - PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,298Updated 7 months ago
 - Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,885Updated last year
 - Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,665Updated last year
 - PyTorch implementation of soft actor critic☆915Updated 3 months ago
 - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,080Updated 2 years ago
 - rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,013Updated 2 years ago
 - PyTorch implementations of deep reinforcement learning algorithms and environments☆5,887Updated last year
 - Soft Actor-Critic☆1,161Updated last year
 - Simple A3C implementation with pytorch + multiprocessing☆656Updated 2 years ago
 - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,187Updated 3 years ago
 - A Platform for Many-Agent Reinforcement Learning☆1,747Updated 3 years ago
 - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,602Updated 2 weeks ago
 - Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,491Updated last year