geek-ai / MAgentLinks
A Platform for Many-Agent Reinforcement Learning
☆1,734Updated 2 years ago
Alternatives and similar repositories for MAgent
Users that are interested in MAgent are comparing it to the libraries listed below
Sorting:
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,566Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,967Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,627Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,274Updated 5 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,801Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,022Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,309Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,101Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,691Updated 11 months ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,348Updated 2 years ago
- For deep RL and the future of AI.☆1,464Updated last year
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,190Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,255Updated 4 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,770Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,304Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,177Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,003Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,436Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆700Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,073Updated 4 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,357Updated 7 months ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,109Updated 7 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆680Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,281Updated 3 months ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,209Updated last year
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Soft Actor-Critic☆1,099Updated last year
- A toolkit for reproducible reinforcement learning research.☆1,980Updated 2 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆968Updated 6 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆712Updated 6 years ago