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cs.AI2022
A Versatile Agent for Fast Learning from Human Instructors
Yiwen Chen, Zedong Zhang, Haofeng Liu +3
In recent years, a myriad of superlative works on intelligent robotics policies have been done, thanks to advances in machine learning. However, inefficiency and lack of transfer a…
cs.AI2021
Improving Learning from Demonstrations by Learning from Experience
Haofeng Liu, Yiwen Chen, Jiayi Tan +1
How to make imitation learning more general when demonstrations are relatively limited has been a persistent problem in reinforcement learning (RL). Poor demonstrations lead to nar…
cs.AI2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture
Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting +3
Deep reinforcement learning (DRL) has been demonstrated to provide promising results in several challenging decision making and control tasks. However, the required inference costs…