25 citations · 85 across the 10 of their papers we have counts for
10 papers
Learning Diverse Risk Preferences in Population-based Self-play
Yuhua Jiang, Qihan Liu, Xiaoteng Ma +5
Among the great successes of Reinforcement Learning (RL), self-play algorithms play an essential role in solving competitive games. Current self-play algorithms optimize the agent…
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
Xiaoteng Ma, Zhipeng Liang, Jose Blanchet +5
Among the reasons hindering reinforcement learning (RL) applications to real-world problems, two factors are critical: limited data and the mismatch between the testing environment…
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning
Xiaoteng Ma, Shuai Ma, Li Xia +1
Keeping risk under control is often more crucial than maximizing expected rewards in real-world decision-making situations, such as finance, robotics, autonomous driving, etc. The…
A unified algorithm framework for mean-variance optimization in discounted Markov decision processes
Shuai Ma, Xiaoteng Ma, Li Xia
This paper studies the risk-averse mean-variance optimization in infinite-horizon discounted Markov decision processes (MDPs). The involved variance metric concerns reward variabil…
MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings
Kailai Sun, Xiaoteng Ma, Peng Liu +1
Head detection in the indoor video is an essential component of building occupancy detection. While deep models have achieved remarkable progress in general object detection, they…
Average-Reward Reinforcement Learning with Trust Region Methods
Xiaoteng Ma, Xiaohang Tang, Li Xia +2
Most of reinforcement learning algorithms optimize the discounted criterion which is beneficial to accelerate the convergence and reduce the variance of estimates. Although the dis…