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2020 – today
- 2024
[j3]Xiangyu Meng
, Hongyao Tang, Xiaozhou Lü, Yaoguang Shi, Weimin Bao:
Tactile Electronic Skin With Curved Surface Compensation by In Situ Curvature Self-Sensing. IEEE Trans. Instrum. Meas. 73: 1-9 (2024)- [j2]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): 8762-8782 (2024) - [c26]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: 383-391 - [c25]Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao:
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. ICML 2024 - [c24]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez:
Value-Evolutionary-Based Reinforcement Learning. ICML 2024 - [i26]Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang:
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR abs/2401.11963 (2024) - [i25]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 abs/2407.05047 (2024) - [i24]Hongyao Tang, Glen Berseth:
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn. CoRR abs/2409.04792 (2024) - 2023
- [c23]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 - [c22]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu:
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. ICML 2023: 19490-19503 - [c21]Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng:
Reining Generalization in Offline Reinforcement Learning via Representation Distinction. NeurIPS 2023 - [i23]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 abs/2303.01391 (2023) - 2022
- [j1]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: 1-9 (2022) - [c20]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: 8441-8449 - [c19]Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang:
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI 2022: 29-44 - [c18]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 - [c17]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: 12979-12997 - [c16]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: 3416-3422 - [i22]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 abs/2203.08553 (2022) - [i21]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 abs/2204.02877 (2022) - [i20]Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng:
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes. CoRR abs/2209.07696 (2022) - [i19]Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng:
ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. CoRR abs/2210.17375 (2022) - [i18]Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao:
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. CoRR abs/2211.15065 (2022) - 2021
- [c15]Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng:
Addressing Action Oscillations through Learning Policy Inertia. AAAI 2021: 7020-7027 - [c14]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: 7457-7465 - [c13]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: 9834-9842 - [c12]Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng:
Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. DAI 2021: 21-37 - [c11]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: 17037-17048 - [i17]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 abs/2103.02225 (2021) - [i16]Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng:
Addressing Action Oscillations through Learning Policy Inertia. CoRR abs/2103.02287 (2021) - [i15]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 abs/2109.05490 (2021) - [i14]Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu:
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR abs/2109.06668 (2021) - [i13]Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng:
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. CoRR abs/2111.10103 (2021) - [i12]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 abs/2112.02817 (2021) - 2020
- [c10]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: 1872-1874 - [c9]Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma:
Large Scale Deep Reinforcement Learning in War-games. BIBM 2020: 1693-1699 - [c8]Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen:
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI 2020: 29-39 - [c7]Xiaoxu Han, Hongyao Tang, Yuan Li, Guang Kou, Leilei Liu:
Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge. ICANN (2) 2020: 369-380 - [c6]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: 10706-10715 - [c5]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: 2291-2297 - [i11]Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - [i10]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 abs/2002.03950 (2020) - [i9]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 abs/2002.07418 (2020) - [i8]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 abs/2002.08030 (2020) - [i7]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 abs/2009.13891 (2020) - [i6]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 abs/2010.09536 (2020)
2010 – 2019
- 2019
- [c4]Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang:
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. AAAI 2019: 10049-10050 - [c3]Hongyao Tang, Jianye Hao, Li Wang, Zan Wang, Tim Baarslag:
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. AAMAS 2019: 2209-2211 - [c2]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: 2329-2335 - [i5]Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. CoRR abs/1903.04959 (2019) - [i4]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 abs/1905.11100 (2019) - [i3]Haotian Fu, Hongyao Tang, Jianye Hao:
Efficient meta reinforcement learning via meta goal generation. CoRR abs/1909.13607 (2019) - 2018
- [i2]Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao:
An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems. CoRR abs/1805.08588 (2018) - [i1]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 abs/1809.09332 (2018) - 2017
- [c1]Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao:
A real-time ensemble classification algorithm for time series data. ICA 2017: 145-150
Coauthor Index
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last updated on 2024-12-02 22:29 CET by the dblp team
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