Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization

Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh +4

Human-like agents have long been one of the goals in pursuing artificial intelligence. Although reinforcement learning (RL) has achieved superhuman performance in many domains, rel…