Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations
Kefei Wu,Xuming He,Yang Wang,Xiaopei Liu,Kefei Wu,Xuming He,Yang Wang,Xiaopei Liu
Training model-free intelligent agents in complex real-world scenarios using reinforcement learning (RL) often necessitates simulation-based environments due to high physical expenses. However, when simulation takes a long time, e.g., in an unsteady 3D fluid simulation with interactions to the controllable solids, existing RL algorithms meet difficulty to accomplish training within a reasonable ti...
