GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback

Jie Huang, Rongshun Juan, Randy Gomez +4

Deep reinforcement learning (DRL) has achieved great successes in many simulated tasks. The sample inefficiency problem makes applying traditional DRL methods to real-world robots…