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).
☆3,824Updated 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☆2,753Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,332Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,940Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,290Updated 5 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,642Updated 3 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,124Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,240Updated 4 years ago
- Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,332Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,309Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,156Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,071Updated 2 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,432Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,019Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,311Updated 2 weeks ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,980Updated 3 months ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,624Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,274Updated 5 months ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,489Updated 3 months ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,853Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,864Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,000Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,182Updated 2 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,057Updated 2 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,467Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,749Updated 2 years ago
- Assignments for CS294-112.☆1,613Updated 2 years ago
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- PyTorch implementation of soft actor critic☆901Updated last month