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…
☆13Updated 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:
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method☆45Updated last year
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆16Updated 4 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆363Updated 2 years ago
- Datasets with baselines for Offline MARL.☆191Updated last month
- OpenAI Gym environment solutions using Deep Reinforcement Learning.☆80Updated 3 years ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆155Updated 2 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆53Updated last year
- This is the official implementation of Multi-Agent PPO.☆128Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆72Updated last year
- ☆277Updated last year
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆439Updated 4 years ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆40Updated 2 years ago
- There will be updates later☆87Updated 6 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆40Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆198Updated last year
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆400Updated last year
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆198Updated last year
- ☆220Updated 2 years ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆27Updated 6 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Modified Fetch Robotics environments from OpenAI gym☆11Updated 4 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆79Updated 11 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago