97 citations · 140 across the 10 of their papers we have counts for
10 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…
The Stellar "Snake" I: Whole Structure and Properties
Fan Wang, Hai-Jun Tian, Dan Qiu +10
To complement our previous discovery of the young snake-like structure in the solar neighborhood and reveal the structure's full extent, we build two samples of stars within the Sn…
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…
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijia Zhang, Hao Liu, Fan Wang +4
Electric Vehicle (EV) has become a preferable choice in the modern transportation system due to its environmental and energy sustainability. However, in many large cities, EV drive…
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…
MBCAL: Sample Efficient and Variance Reduced Reinforcement Learning for Recommender Systems
Fan Wang, Xiaomin Fang, Lihang Liu +2
In recommender systems such as news feed stream, it is essential to optimize the long-term utilities in the continuous user-system interaction processes. Previous works have proved…
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…
Sequential Evaluation and Generation Framework for Combinatorial Recommender System
Fan Wang, Xiaomin Fang, Lihang Liu +5
In the combinatorial recommender systems, multiple items are fed to the user at one time in the result page, where the correlations among the items have impact on the user behavior…
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Fan Wang, Bo Zhou, Ke Chen +5
Combining deep neural networks with reinforcement learning has shown great potential in the next-generation intelligent control. However, there are challenges in terms of safety an…