A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control

Real-world continuous control problems often require optimizing for multiple conflicting objectives. Various works in multi-objective reinforcement learning have been conducted to tackle such issues and obtained impressive performance. At the same time, evolutionary algorithms (EAs), which are exten... View More