ArnaudFickinger / gym-multigridLinks
Lightweight multi-agent gridworld Gym environment
☆209Updated 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
- Level-based Foraging (LBF): A multi-agent environment for RL☆187Updated 10 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆318Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆203Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 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
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆101Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 2 weeks ago
- ☆199Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆504Updated 2 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆289Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆182Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆329Updated 11 months ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆248Updated 5 years ago
- Partially Observable Process Gym☆195Updated last month
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 8 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆149Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆366Updated 3 years ago
- Code for the paper "Phasic Policy Gradient"☆262Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago