Hongyao Tang

According to our database, Hongyao Tang authored at least 39 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey.

Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang

CoRR, 2024

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning.

Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng

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

2023

The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting.

Hongyao Tang, Min Zhang, Jianye Hao

CoRR, 2023

Reining Generalization in Offline Reinforcement Learning via Representation Distinction.

Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng

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

RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution.

Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu

Proceedings of the International Conference on Machine Learning, 2023

ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.

Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Pressure-Controlled Thermochromic Electronic Skin With Adjustable Memory Time During Fabrication for In Situ Pressure Display Application.

Xiangyu Meng, Xiaozhou Lü, Yaoguang Shi, Hongyao Tang, Weimin Bao

IEEE Trans. Instrum. Meas., 2022

State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning.

Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao

CoRR, 2022

ERL-Re²: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.

Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng

CoRR, 2022

Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes.

Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng

CoRR, 2022

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.

Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang

CoRR, 2022

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.

Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.

Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang

Proceedings of the International Conference on Machine Learning, 2022

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.

Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator.

Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.

Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ED2: An Environment Dynamics Decomposition Framework for World Model Construction.

Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun

CoRR, 2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey.

Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu

CoRR, 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.

Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang

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

Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.

Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng

Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.

Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.

Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Addressing Action Oscillations through Learning Policy Inertia.

Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator.

Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang

CoRR, 2020

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

Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen

CoRR, 2020

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.

Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang

CoRR, 2020

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.

Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng

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

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.

Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei

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

Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge.

Xiaoxu Han, Hongyao Tang, Yuan Li, Guang Kou, Leilei Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning.

Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen

Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

Large Scale Deep Reinforcement Learning in War-games.

Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

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

Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao

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

2019

Efficient meta reinforcement learning via meta goal generation.

Haotian Fu, Hongyao Tang, Jianye Hao

CoRR, 2019

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.

Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang

CoRR, 2019

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.

Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan

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

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning.

Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Hierarchical Deep Multiagent Reinforcement Learning.

Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang

CoRR, 2018

An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems.

Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao

CoRR, 2018

2017

A real-time ensemble classification algorithm for time series data.

Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao

Proceedings of the IEEE International Conference on Agents, 2017