El Ghazali Talbi

A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning

Multi-objective reinforcement learning algorithms (MORL) extend standard reinforcement learning (RL) to scenarios where agents must optimize multiple---potentially conflicting---objectives, each represented by a distinct reward function. To facilitate and accelerate research and benchmarking in mult…