kandouss / marlgrid
Gridworld for MARL experiments
☆138Updated 4 years ago
Alternatives and similar repositories for marlgrid:
Users that are interested in marlgrid are comparing it to the libraries listed below
- Lightweight multi-agent gridworld Gym environment☆201Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆193Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆169Updated 4 months ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆154Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆121Updated 5 months ago
- 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
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆81Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 6 months ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆186Updated last year
- Deep Reinforcement Learning for Continuous Control in PyTorch☆93Updated 3 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆190Updated 2 years ago
- ☆120Updated last year
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆45Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆167Updated 6 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆134Updated 9 months ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆31Updated 2 years ago
- ☆191Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆203Updated 5 years ago
- Partially Observable Process Gym☆174Updated 6 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆173Updated 2 years ago
- There will be updates later☆83Updated 5 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆56Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆109Updated last year
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 4 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆289Updated last year