Xiaoteng Ma | DeepAI

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Featured Co-authors

Wei Li
286 publications
Dong Wang
238 publications
Peng Liu
107 publications
Xuelong Li
103 publications
Zhen Wang
95 publications
Gao Huang
92 publications
Jun Yang
88 publications
Ming Zhang
73 publications
Jose Blanchet
56 publications
Xiu Li
56 publications
Shuai Ma
40 publications

∙ 05/28/2023

Cross-Domain Policy Adaptation via Value-Guided Data Filtering

Generalizing policies across different domains with dynamics mismatch po...

0 Kang Xu, et al. ∙

∙ 05/19/2023

Learning Diverse Risk Preferences in Population-based Self-play

Among the great successes of Reinforcement Learning (RL), self-play algo...

0 Yuhua Jiang, et al. ∙

∙ 04/10/2023

Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning

Equipped with the trained environmental dynamics, model-based offline re...

0 Junjie Zhang, et al. ∙

∙ 01/27/2023

Single-Trajectory Distributionally Robust Reinforcement Learning

As a framework for sequential decision-making, Reinforcement Learning (R...

0 Zhipeng Liang, et al. ∙

∙ 09/14/2022

Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation

Among the reasons hindering reinforcement learning (RL) applications to ...

0 Xiaoteng Ma, et al. ∙

∙ 06/15/2022

Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning

Keeping risk under control is often more crucial than maximizing expecte...

0 Xiaoteng Ma, et al. ∙

∙ 06/09/2022

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Offline reinforcement learning (RL) defines the task of learning from a ...

0 Jiafei Lyu, et al. ∙

∙ 01/15/2022

A unified algorithm framework for mean-variance optimization in discounted Markov decision processes

This paper studies the risk-averse mean-variance optimization in infinit...

0 Shuai Ma, et al. ∙

∙ 10/19/2021

Offline Reinforcement Learning with Value-based Episodic Memory

Offline reinforcement learning (RL) shows promise of applying RL to real...

0 Xiaoteng Ma, et al. ∙

∙ 10/07/2021

MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection

Head detection in real-world videos is an important research topic in co...

2 Kailai Sun, et al. ∙

∙ 06/07/2021

Average-Reward Reinforcement Learning with Trust Region Methods

Most of reinforcement learning algorithms optimize the discounted criter...

0 Xiaoteng Ma, et al. ∙

∙ 06/07/2021

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning

Learning from datasets without interaction with environments (Offline Le...

0 Yiqin Yang, et al. ∙

∙ 06/06/2021

Efficient Continuous Control with Double Actors and Regularized Critics

How to obtain good value estimation is one of the key problems in Reinfo...

0 Jiafei Lyu, et al. ∙

∙ 02/10/2021

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning

Value-based methods of multi-agent reinforcement learning (MARL), especi...

0 Xiaoteng Ma, et al. ∙

∙ 06/25/2020

SOAC: The Soft Option Actor-Critic Architecture

The option framework has shown great promise by automatically extracting...

5 Chenghao Li, et al. ∙

∙ 06/05/2020

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration

The generative adversarial imitation learning (GAIL) has provided an adv...

8 Ming Zhang, et al. ∙

∙ 04/30/2020

Distributional Soft Actor Critic for Risk Sensitive Learning

Most of reinforcement learning (RL) algorithms aim at maximizing the exp...

7 Xiaoteng Ma, et al. ∙

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