Multi-Objective Reinforcement Learning algorithms implementations.
Multi-objective Gymnasium environments for reinforcement learning
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.
[NeurIPS 2021] Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
A multi-objective reinforcement learning system based on Pareto Q-Learning to optimize traffic light control in SUMO, balancing travel time, emissions, and traffic flow.
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