Reverse Dependencies of PettingZoo

The following projects have a declared dependency on PettingZoo:

• 20XX — =?utf-8?b?MjBYWCBpcyBhIFBldHRpbmdab28tYmFzZWQgbGlicmFyeSBmb3IgTWVsZWUuICjijJDilqBf4pagKQ==?=
• agilerl — AgileRL is a deep reinforcement learning library focused on improving RL development through RLOps.
• ai-traineree — Yet another zoo of (Deep) Reinforcment Learning methods in Python using PyTorch
• ailiga — no summary
• autonomous-learning-library — A library for building reinforcement learning agents in Pytorch
• blokus-rl — no summary
• carla-gym — Multi-agent reinforcement learning interface for CARLA Autonomous Driving simulator compatible with PettingZoo.
• cathedral-rl — Interactive Multi-Agent Reinforcement Learning Environment for the board game Cathedral using PettingZoo
• chatarena — Multi-Agent Language Game Environments for Large Language Models
• cleanrl — High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
• cogment_lab — no summary
• cogrid — Multi-agent extension and expansion of MiniGrid.
• coltra — Coltra is a simple moddable RL algorithm implementation
• coltra-rl — Coltra-RL is a simple moddable RL algorithm implementation
• datadynamics — Simulation environment for data collection.
• DI-engine — Decision AI Engine
• DSSE — The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.
• ethical-smart-grid — A RL environment for learning ethically-aligned behaviours in a Smart Grid simulator.
• fanorona-aec — A PettingZoo AECEnv implementation of the Fanorona board game.
• fruit-slots — An experiment in implicit communication between learning agents
• generals — Generals.io environment compliant with PettingZoo API standard powered by Numpy.
• gobblet-rl — Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.
• gym-cooking-lipo — A variant of https://github.com/DavidRother/cooking_zoo used in LIPO
• gymize — Unity and Python Reinforcement and Imitation Learning with Gymnasium and PettingZoo API.
• gymnasium-planar-robotics — A library for reinforcement learning environments in the field of planar robotics
• jaxmarl — Multi-Agent Reinforcement Learning with JAX
• kaggle-environments — Kaggle Environments
• luxai-s2 — The Lux AI Challenge Season 2
• luxai2022 — The Lux AI Challenge Season 2
• magent2 — Multi-Agent Reinforcement Learning environments with very large numbers of agents.
• mal-simulator — A MAL compliant simulator.
• marl-aquarium — Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
• marlben — Marlben is a multi-agent reinforcement learning benchmark based on the NeuralMMO game engine.
• mlagents-envs — Unity Machine Learning Agents Interface
• mlpro-int-pettingzoo — MLPro: Integration PettingZoo
• momaland — A standard API for Multi-Objective Multi-Agent Decision making and a diverse set of reference environments.
• mpe2 — Multi Particle Environments Version 2
• nmmo — Neural MMO is a platform for multiagent intelligence research inspired by Massively Multiplayer Online (MMO) role-playing games. Documentation hosted at neuralmmo.github.io.
• openrl — unified reinforcement learning framework
• playgroundrl-envs — The environments hosted on Playground RL
• pokegym — Pokemon Red Gymnasium environment for reinforcement learning
• poker-gym — OpenAI Gym environment for Poker including No Limit Hold'em(NLHE) and Pot Limit Omaha(PLO)
• posggym — A standard API and diverse set of reference environments for reinforcement learning and planning in Partially Observable Stochastic Games (POSGs).
• PyFlyt — UAV Flight Simulator Gymnasium Environments for Reinforcement Learning Research.
• pyhagl — Library to describe Gymnasium spaces as Python objects
• pypzbattlesnake — Multiagent Snake environment based on PettingZoo API and inspired by BattleSnake
• qwertyenv — Gym and PettingZoo environments (Reinforcement Learning)
• ratinabox — RatInABox: A package for simulating spatial navigation and spatial representation neural data in continuous 2D environments
• rlhive — A package to support RL research
• rllib-emecom — Framework for Emergent Communication using RLlib
• rlskyjo — Multi-Agent Reinforcement Learning Environment for the card game SkyJo, compatible with PettingZoo and RLLIB
• safe-autonomy-sims — The Safe-Autonomy-Sims library provides the components and tools to build modular, integration-focused Reinforcement Learning environments with Run Time Assurance (RTA)
• Shimmy — An API conversion tool providing Gymnasium and PettingZoo bindings for popular external reinforcement learning environments.
• sotopia — A platform for simulating and evaluating social interaction.
• sumo-rl — RL environments and learning code for traffic signal control in SUMO.
• SuperSuit — Wrappers for Gymnasium and PettingZoo
• tianshou — A Library for Deep Reinforcement Learning
• torchrl — no summary
• torchrl-nightly — no summary
• turingpoint — Reinforcement Learning (RL) library
• umshini — Umshini client for playing in MARL tournaments
• unstable-baselines3 — stable_baselines3 for pettingzoo multi agent algorithms
• vega-sim — Simulator for running self-contained Vega chain on local PC