An Approach to Design a Biomechanically-Inspired Reward Function to Solve a Patience Cube Under Reinforcement Learning Framework
Janghyeon Kim,Ho-Jin Jung,Dae Han Sim,Ji-Hyeon Yoo,Song Woo Kim,Han Ul Yoon,Janghyeon Kim,Ho-Jin Jung,Dae Han Sim,Ji-Hyeon Yoo,Song Woo Kim,Han Ul Yoon
This paper presents an approach to design a reward function by adopting both control theoretic and biomechanical perspectives. In reinforcement learning (RL), a reward function plays a crucial role for an RL agent training; especially, a task learning time and a task performance. Accordingly, designing a reward function becomes a key issue to train an RL agent generating human-like policy/strategy...
