quantumiracle / Popular-RL-AlgorithmsLinks
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
☆1,330Updated 10 months ago
Alternatives and similar repositories for Popular-RL-Algorithms
Users that are interested in Popular-RL-Algorithms 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…☆1,400Updated 2 years ago
- PyTorch implementation of soft actor critic☆933Updated 6 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,030Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,273Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆772Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,154Updated 3 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆991Updated 8 months ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆727Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,644Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆785Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- Soft Actor-Critic☆1,206Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,720Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,855Updated last year
- SMAC: The StarCraft Multi-Agent Challenge☆1,325Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆611Updated 8 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆733Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,881Updated last year
- ☆1,311Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,196Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆678Updated 6 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆917Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆660Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆586Updated 4 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,936Updated last year
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆555Updated 7 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆347Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,005Updated 4 months ago
- A collection of multi agent environments based on OpenAI gym.☆629Updated last year