geek-ai / MAgentLinks
A Platform for Many-Agent Reinforcement Learning
☆1,748Updated 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"☆2,608Updated last year
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,836Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,637Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,282Updated 5 years ago
- For deep RL and the future of AI.☆1,471Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,443Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,058Updated 2 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,986Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,182Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,320Updated last year
- SMAC: The StarCraft Multi-Agent Challenge☆1,230Updated last year
- Reinforcement Learning in PyTorch☆2,265Updated 4 years ago
- Code for the paper "Exploration by Random Network Distillation"☆903Updated 4 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,008Updated 6 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆706Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,730Updated last year
- Lua/Torch implementation of DQN (Nature, 2015)☆608Updated 8 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,289Updated 5 months ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,349Updated 2 years ago
- Assignments for CS294-112.☆1,602Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,804Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,285Updated last month
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆681Updated 4 years ago
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,321Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- Soft Actor-Critic☆1,122Updated last year
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆564Updated 3 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,120Updated 3 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆773Updated last year