Yujing Hu
25 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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Hot Topic Early Bird
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Cross-Pollinator
(12)
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Dynamic Duo
(21)
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(10)
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(25)
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Conferences
ICLR (6)
NIPS (6)
IJCAI (5)
AAAI (3)
ICML (3)
ECCV (1)
UAI (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(7)
reinforcement learning
(3)
deep reinforcement learning
(3)
multi-agent system
(3)
decentralized execution
(2)
option learning
(2)
centralized training
(2)
reward shaping
(2)
policy transfer
(2)
game theory
(1)
multi-agent learning
(1)
policy iteration
(1)
distribution shift
(1)
policy improvement
(1)
transfer learning
(1)
graph attention
(1)
deep neural network
(1)
policy learning
(1)
zero-sum game
(1)
convergence rate
(1)
Papers
Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
ICLR 2025
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
IJCAI 2024
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
ICLR 2024
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations
IJCAI 2024
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
UAI 2024
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
NIPS 2024
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
ICML 2024
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
ICLR 2024
Norface: Improving Facial Expression Analysis by Identity Normalization
ECCV 2024
Neural Episodic Control with State Abstraction
ICLR 2023
Conservative Offline Policy Adaptation in Multi-Agent Games
NIPS 2023
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
ICLR 2023
Individual Reward Assisted Multi-Agent Reinforcement Learning
ICML 2022
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
NIPS 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
NIPS 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NIPS 2021
Multi-Agent Game Abstraction via Graph Attention Neural Network
AAAI 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
IJCAI 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
NIPS 2020
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
ICLR 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
AAAI 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
ICML 2020
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns
IJCAI 2019
Explicitly Coordinated Policy Iteration
IJCAI 2019