kandouss / marlgridLinks
Gridworld for MARL experiments
☆143Updated 4 years ago
Alternatives and similar repositories for marlgrid
Users that are interested in marlgrid are comparing it to the libraries listed below
Sorting:
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Curiosity-driven Exploration by Self-supervised Prediction☆144Updated 2 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆164Updated 2 years ago
- ☆78Updated last year
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- ☆203Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆197Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 3 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆59Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 2 months ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆154Updated 2 years ago
- Partially Observable Process Gym☆205Updated 5 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 5 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 6 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 2 years ago
- 🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Compu…☆212Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆252Updated 5 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆338Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆174Updated last year
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago