Xiaoteng Ma
18 papers · 2021–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (19) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
π
Keyword Champion
(3)
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Century Club Β· Bronze
β
The Questioner
(2)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(77)
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Prolific Year Β· Productive
Top co-authors
Research topics
Keywords
offline reinforcement learning
(7)
value function
(3)
value estimation
(3)
reinforcement learning
(3)
policy optimization
(3)
sample efficiency
(2)
distribution shift
(2)
extrapolation error
(2)
continuous control
(2)
deep reinforcement learning
(2)
cross-domain adaptation
(2)
behavior cloning
(1)
adversarial robustness
(1)
sample complexity
(1)
optimal transport
(1)
multi-agent reinforcement learning
(1)
policy gradient
(1)
domain generalization
(1)
reward function
(1)
model-based reinforcement learning
(1)
Papers
From Word to World: Can Large Language Models be Implicit Text-based World Models?
ACL 2026
Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
ICLR 2025
Episodic Novelty Through Temporal Distance
ICLR 2025
Efficient Multi-agent Reinforcement Learning by Planning
ICLR 2024
Learning Diverse Risk Preferences in Population-Based Self-Play
AAAI 2024
NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learning
NeurIPS 2024
SEABO: A Simple Search-Based Method for Offline Imitation Learning
ICLR 2024
Single-Trajectory Distributionally Robust Reinforcement Learning
ICML 2024
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
NeurIPS 2023
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract)
IJCAI 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
ICML 2023
Efficient Continuous Control with Double Actors and Regularized Critics
AAAI 2022
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
NeurIPS 2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning
NeurIPS 2022
Offline Reinforcement Learning with Value-based Episodic Memory
ICLR 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
NeurIPS 2022
Average-Reward Reinforcement Learning with Trust Region Methods
IJCAI 2021
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
NeurIPS 2021