ArnaudFickinger / gym-multigridLinks
Lightweight multi-agent gridworld Gym environment
☆213Updated 2 years ago
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☆144Updated 5 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆202Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆334Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆143Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆168Updated 3 years ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆156Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆366Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 5 months ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆269Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆146Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆529Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆314Updated last year
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 4 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆160Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Updated 5 years ago
- Datasets with baselines for Offline MARL.☆202Updated 3 months ago
- ☆202Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 7 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆142Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆187Updated last year
- 🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Compu…☆217Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆253Updated 5 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆54Updated 8 months ago
- ☆78Updated last year
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆204Updated last year