Yujing Hu
25 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Reinforcement Learning
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Deep Learning
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multi-agent reinforcement learning
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deep reinforcement learning
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multi-agent system
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sample efficiency
(3)
reinforcement learning
(3)
offline reinforcement learning
(2)
policy transfer
(2)
decentralized execution
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neural network
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centralized training
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option learning
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deep neural network
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reward shaping
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policy diversity
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policy learning
(1)
preference alignment
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knowledge transfer
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attention mechanism
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state abstraction
(1)
curriculum learning
(1)
Papers
Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
ICLR 2025
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
ICLR 2024
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
ICML 2024
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
UAI 2024
Norface: Improving Facial Expression Analysis by Identity Normalization
ECCV 2024
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations
IJCAI 2024
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
ICLR 2024
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
NeurIPS 2024
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
IJCAI 2024
Conservative Offline Policy Adaptation in Multi-Agent Games
NeurIPS 2023
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
ICLR 2023
Neural Episodic Control with State Abstraction
ICLR 2023
Individual Reward Assisted Multi-Agent Reinforcement Learning
ICML 2022
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NeurIPS 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
NeurIPS 2021
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
NeurIPS 2021
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
ICLR 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
IJCAI 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
AAAI 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
NeurIPS 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network
AAAI 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
ICML 2020
Explicitly Coordinated Policy Iteration
IJCAI 2019
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns
IJCAI 2019