Yujing Hu

According to our database¹, Yujing Hu authored at least 44 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry.

[BibT_eX]

[DOI]

Multim. Tools Appl., January, 2024

XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques.

[BibT_eX]

[DOI]

CoRR, 2024

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Establishment and validation of an AI-aid method in the diagnosis of myocardial perfusion imaging.

[BibT_eX]

[DOI]

BMC Medical Imaging, December, 2023

Deep learning applications in games: a survey from a data perspective.

[BibT_eX]

[DOI]

Appl. Intell., December, 2023

ASN: action semantics network for multiagent reinforcement learning.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., October, 2023

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2023

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Conservative Offline Policy Adaptation in Multi-Agent Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Widget Detection-based Testing for Industrial Mobile Games.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Episodic Control with State Abstraction.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Off-Beat Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards.

[BibT_eX]

[DOI]

CoRR, 2022

DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Individual Reward Assisted Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Discharge Test of Unmanned Aerial Vehicles and Live High-voltage Wires.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

2021

Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games.

[BibT_eX]

[DOI]

CoRR, 2021

Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Exploring Unknown States with Action Balance.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Agent Game Abstraction via Graph Attention Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Explicitly Coordinated Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2015

Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer.

[BibT_eX]

[DOI]

Yujing Hu

Yang Gao

Bo An

IEEE Trans. Cybern., 2015

Multiagent Reinforcement Learning With Unshared Value Functions.

[BibT_eX]

[DOI]

Yujing Hu

Yang Gao

Bo An

IEEE Trans. Cybern., 2015

Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction.

[BibT_eX]

[DOI]

Yujing Hu

Yang Gao

Bo An

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Yujing Hu

Timeline

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On csauthors.net:

Bibliography

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