minqi / learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
☆348Updated 5 years ago
Alternatives and similar repositories for learning-to-communicate-pytorch:
Users that are interested in learning-to-communicate-pytorch are comparing it to the libraries listed below
- Mean Field Multi-Agent Reinforcement Learning☆383Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆681Updated last year
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆216Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆630Updated 6 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆543Updated 7 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆289Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆115Updated 2 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆707Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆397Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆595Updated 5 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆306Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆585Updated 6 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆284Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆686Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆102Updated 5 years ago
- Constrained Policy Optimization☆308Updated 7 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆480Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆294Updated 6 months ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆100Updated 4 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆203Updated 5 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆108Updated 2 years ago
- DGN Code☆341Updated last year
- Actor-critic with experience replay☆251Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆234Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆312Updated 4 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆174Updated 7 years ago