Hongyao Tang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 51

Top Topics

Decision Process

Markov Decision Processes

Reinforcement Learning

Continuous Action

Top Venues

Publications

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Min Zhang, Jianye Hao, Xian Fu, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang, Yan Zheng
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning. CoRR (2024)
Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR (2024)
Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning. AAAI (2024)
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. ICML (2023)
Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. ICLR (2023)
Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng
Reining Generalization in Offline Reinforcement Learning via Representation Distinction. NeurIPS (2023)
Hongyao Tang, Min Zhang, Jianye Hao
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting. CoRR (2023)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI (2022)
Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes. CoRR (2022)
Xiangyu Meng, Xiaozhou Lü, Yaoguang Shi, Hongyao Tang, Weimin Bao
Pressure-Controlled Thermochromic Electronic Skin With Adjustable Memory Time During Fabrication for In Situ Pressure Display Application. IEEE Trans. Instrum. Meas. 71 (2022)
Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng
: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. CoRR (2022)
Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. CoRR (2022)
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. IJCAI (2022)
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. ICLR (2022)
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. CoRR (2022)
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML (2022)
Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI (2022)
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR (2022)
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. CoRR (2021)
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. DAI (2021)
Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR (2021)
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
Addressing Action Oscillations through Learning Policy Inertia. AAAI (2021)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR (2021)
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
Addressing Action Oscillations through Learning Policy Inertia. CoRR (2021)
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. CoRR (2021)
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI (2021)
Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI (2021)
Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun
ED2: An Environment Dynamics Decomposition Framework for World Model Construction. CoRR (2021)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS (2021)
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. IJCAI (2020)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR (2020)
Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma
Large Scale Deep Reinforcement Learning in War-games. BIBM (2020)
Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR (2020)
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML (2020)
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. CoRR (2020)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR (2020)
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR (2020)
Xiaoxu Han, Hongyao Tang, Yuan Li, Guang Kou, Leilei Liu
Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge. ICANN (2) (2020)
Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR (2020)
Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI (2020)
Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao
Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. AAMAS (2020)
Haotian Fu, Hongyao Tang, Jianye Hao
Efficient meta reinforcement learning via meta goal generation. CoRR (2019)
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. CoRR (2019)
Hongyao Tang, Jianye Hao, Li Wang, Zan Wang, Tim Baarslag
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. AAMAS (2019)
Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. AAAI (2019)
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. IJCAI (2019)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR (2019)
Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang
Hierarchical Deep Multiagent Reinforcement Learning. CoRR (2018)
Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao
An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems. CoRR (2018)
Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao
A real-time ensemble classification algorithm for time series data. ICA (2017)