6 citations · 11 across the 5 of their papers we have counts for
5 papers
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
Haojie Shi, Bo Zhou, Hongsheng Zeng +6
Recently reinforcement learning (RL) has emerged as a promising approach for quadrupedal locomotion, which can save the manual effort in conventional approaches such as designing s…
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods
Bo Zhou, Kejiao Li, Hongsheng Zeng +2
Combining off-policy reinforcement learning methods with function approximators such as neural networks has been found to lead to overestimation of the value function and sub-optim…
Action Set Based Policy Optimization for Safe Power Grid Management
Bo Zhou, Hongsheng Zeng, Yuecheng Liu +3
Maintaining the stability of the modern power grid is becoming increasingly difficult due to fluctuating power consumption, unstable power supply coming from renewable energies, an…
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion
Bo Zhou, Hongsheng Zeng, Fan Wang +2
By integrating dynamics models into model-free reinforcement learning (RL) methods, model-based value expansion (MVE) algorithms have shown a significant advantage in sample effici…
Artificial Intelligence for Prosthetics - challenge solutions
Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…