ikostrikov / pytorch-a2c-ppo-acktr-gail
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).
☆3,722Updated 2 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
- Collection of reinforcement learning algorithms☆2,631Updated 9 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,283Updated 11 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,616Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,248Updated 4 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,259Updated 5 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,181Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,828Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,280Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,081Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,246Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆1,949Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,064Updated 3 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,204Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,931Updated 4 months ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,764Updated 8 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,164Updated 2 years ago
- Soft Actor-Critic☆1,060Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,204Updated last month
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,952Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,203Updated 2 weeks ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,500Updated 11 months ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆1,954Updated 8 months ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,324Updated 10 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,719Updated 2 years ago
- PyTorch implementation of soft actor critic☆864Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆1,980Updated 2 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,757Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆674Updated 4 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆2,993Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆907Updated 3 months ago