leonardovvla / multi-agent-cooperation-learningLinks
This is a project based on OpenAI's multi-agent-emergence-environments (Emergent Tool Use from Multi-Agent Autocurricula, Baker et al.), and uses its framework to build a new environment (MACL) where developers can deploy their own experiments in order to study good ways to foster cooperation intelligence in machines. This work was done during a…
☆12Updated 4 years ago
Alternatives and similar repositories for multi-agent-cooperation-learning
Users that are interested in multi-agent-cooperation-learning are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning material☆24Updated 5 years ago
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆16Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆326Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆360Updated 2 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆327Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆263Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- This is the official implementation of Multi-Agent PPO.☆120Updated 2 years ago
- There will be updates later☆85Updated 6 years ago
- An improvement of CarRacing-v0 from OpenAI Gym in order to make the environment complex enough for Hierarchical Reinforcement Learning☆74Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆137Updated last year
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆72Updated last year
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- OpenAI gym-based algorithm for the grid world problem☆28Updated 5 years ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆154Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 5 months ago
- ☆184Updated 3 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆436Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆51Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆163Updated 2 years ago
- ☆97Updated 4 years ago
- A collection of multi agent environments based on OpenAI gym.☆619Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆512Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆135Updated 2 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated last year