Extended, multi-agent, and multi-objective (MaMoRL / MoMaRL) gridworld environments building framework 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.
simulation-environmentconstraint-satisfaction-problemartificial-intelligencemulti-agentgymsimulation-frameworkrlmulti-objective-optimizationgridworldmulti-objectiveai-safetyhuman-playergridworld-environmentreinforcement-learning-environmentsmarlsideeffectsmultiobjective-learningmorlpettingzoopluralism
-
Updated
Jun 21, 2026 - Python