ArnaudFickinger / gym-multigridLinks
Lightweight multi-agent gridworld Gym environment
☆208Updated last year
Alternatives and similar repositories for gym-multigrid
Users that are interested in gym-multigrid are comparing it to the libraries listed below
Sorting:
- Gridworld for MARL experiments☆141Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆129Updated 11 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 9 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- ☆198Updated 2 years ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆152Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated this week
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆161Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆201Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆246Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆170Updated 7 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆178Updated 11 months ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Partially Observable Process Gym☆194Updated last month
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆145Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆323Updated 10 months ago
- (NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation☆222Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆174Updated 2 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆100Updated 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…☆193Updated 2 years ago