Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.
A gym environment for a miniature racecar using the pybullet physics engine.
implementation of MADDPG using PettingZoo and PyTorch
Jax and Torch Multi-Agent SAC on PettingZoo API
SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.
Develop your agent for generals.io!
A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.
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.
A Predator-Prey-Grass multi-agent gridworld environment implemented with Farama's Gymnasium, PettingZoo and MOMAland. Featuring dynamic spawning and deletion and partial observability of agents.
Unity and Python Reinforcement and Imitation Learning with Gymnasium and PettingZoo API.
Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.
Multi-Agent Reinforcement Learning Environment for the card game SkyJo, compatible with PettingZoo and RLLIB
Multi-agent RL algorithm
Extended, multi-agent and multi-objective (MaMoRL / MoMaRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.
🕹 Pikachu-volleyball game-based multi-agent RL environment using PettingZoo
A PettingZoo AECEnv implementation of the board game Fanorona
Interactive Multi-Agent Reinforcement Learning Environment for the board game Cathedral using PettingZoo
PettingZoo/Gym Multi-Agent Environment For Battlesnake
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