Kaichen Liu

Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL

Multi-objective reinforcement learning (MORL) is a fundamental framework for real-world decision-making problems involving multiple conflicting criteria. Existing multi-policy (MP) methods typically rely on online evolutionary frameworks that maintain large policy populations, leading to high sample…