Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations

William Sharpless, Dylan Hirsch, Sander Tonkens +2

Hard constraints in reinforcement learning (RL) often degrade policy performance. Lagrangian methods offer a way to blend objectives with constraints, but require intricate reward…