Hongyao Tang - RankMe

71 papers A* 22A 3Journal 40Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Biomimetic cell in-situ self-healing PCL/CNT conductive composites for flexible pressure sensors with high sensitivity and wide linear measurement range. Sci. China Inf. Sci. Xiangyu Meng, Hongyao Tang, Xiaozhou Lü, Jiayao Zhang, Yaoguang Shi, Yumeng He, Weimin Bao
2025	J	`jnl`	Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms. IEEE Trans. Evol. Comput. Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
2025	J	`jnl`	Can We Optimize Deep RL Policy Weights as Trajectory Modeling? CoRR Hongyao Tang
2025	A	`conf`	Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. AAMAS Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2025	J	`jnl`	Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. CoRR Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2025	J	`jnl`	ED2: environment dynamics decomposition world models for continuous control. Vis. Intell. Yifu Yuan, Hongyao Tang, Cong Wang, Yan Zheng, Jianye Hao
2025	J	`jnl`	Efficient Morphology-Aware Policy Transfer to New Embodiments. CoRR Michael Przystupa, Hongyao Tang, Martin Jägersand, Santiago Miret, Mariano Phielipp, Matthew E. Taylor, Glen Berseth
2025	J	`jnl`	Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI. CoRR Fei Ni, Min Zhang, Pengyi Li, Yifu Yuan, Lingfeng Zhang, Yuecheng Liu, Peilong Han, Longxin Kou, Shaojin Ma, Jinbin Qiao, David Gamaliel Arcos Bravo, Yuening Wang, Xiao Hu, Zhanguang Zhang, Xianze Yao, Yutong Li, Zhao Zhang, Ying Wen, Ying-Cong Chen, Xiaodan Liang, Liang Lin, Bin He, Haitham Bou-Ammar, He Wang, Huazhe Xu, Jiankang Deng, Shan Luo, Shuqiang Jiang, Wei Pan, Yang Gao, Stefanos Zafeiriou, Jan Peters, Yuzheng Zhuang, Yingxue Zhang, Yan Zheng, Hongyao Tang, Jianye Hao
2025	J	`jnl`	MUVLA: Learning to Explore Object Navigation via Map Understanding. CoRR Peilong Han, Fan Jia, Min Zhang, Yutao Qiu, Hongyao Tang, Yan Zheng, Tiancai Wang, Jianye Hao
2025	A*	`conf`	Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. ICML Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth
2025	J	`jnl`	Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. CoRR Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth
2025	A*	`conf`	R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models. ICML Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng
2025	J	`jnl`	Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies. CoRR Yi Ma, Hongyao Tang, Chenjun Xiao, Yaodong Yang, Wei Wei, Jianye Hao, Jiye Liang
2025	J	`jnl`	Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model. CoRR Jing Liang, Hongyao Tang, Yi Ma, Jinyi Liu, Yan Zheng, Shuyue Hu, Lei Bai, Jianye Hao
2024	J	`jnl`	Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
2024	A*	`conf`	Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning. AAAI Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng
2024	A*	`conf`	EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. ICML Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao
2024	J	`jnl`	Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
2024	A*	`conf`	Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn. NeurIPS Hongyao Tang, Glen Berseth
2024	J	`jnl`	Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn. CoRR Hongyao Tang, Glen Berseth
2024	J	`jnl`	MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning. CoRR Min Zhang, Jianye Hao, Xian Fu, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang, Yan Zheng
2024	J	`jnl`	Tactile Electronic Skin With Curved Surface Compensation by In Situ Curvature Self-Sensing. IEEE Trans. Instrum. Meas. Xiangyu Meng, Hongyao Tang, Xiaozhou Lü, Yaoguang Shi, Weimin Bao
2024	A*	`conf`	The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space. NeurIPS Hongyao Tang, Min Zhang, Chen Chen, Jianye Hao
2024	A*	`conf`	Value-Evolutionary-Based Reinforcement Learning. ICML Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez
2023	A*	`conf`	ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. ICLR Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng
2023	A*	`conf`	RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. ICML Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu
2023	A*	`conf`	Reining Generalization in Offline Reinforcement Learning via Representation Distinction. NeurIPS Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng
2023	J	`jnl`	The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting. CoRR Hongyao Tang, Min Zhang, Jianye Hao
2022	J	`jnl`	ERL-Re CoRR Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng
2022	—	`conf`	Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang
2022	A*	`conf`	HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. ICLR Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
2022	A*	`conf`	PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. IJCAI Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
2022	J	`jnl`	PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. CoRR Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
2022	A*	`conf`	PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
2022	J	`jnl`	PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang
2022	J	`jnl`	Pressure-Controlled Thermochromic Electronic Skin With Adjustable Memory Time During Fabrication for In Situ Pressure Display Application. IEEE Trans. Instrum. Meas. Xiangyu Meng, Xiaozhou Lü, Yaoguang Shi, Hongyao Tang, Weimin Bao
2022	J	`jnl`	State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. CoRR Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao
2022	J	`jnl`	Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes. CoRR Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng
2022	A*	`conf`	What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
2021	A*	`conf`	Addressing Action Oscillations through Learning Policy Inertia. AAAI Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
2021	J	`jnl`	Addressing Action Oscillations through Learning Policy Inertia. CoRR Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
2021	A*	`conf`	An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
2021	J	`jnl`	ED2: An Environment Dynamics Decomposition Framework for World Model Construction. CoRR Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun
2021	J	`jnl`	Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
2021	A*	`conf`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
2021	J	`jnl`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
2021	J	`jnl`	HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. CoRR Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
2021	A*	`conf`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2021	—	`conf`	Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. DAI Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
2021	J	`jnl`	Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. CoRR Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
2020	—	`conf`	Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge. ICANN (2) Xiaoxu Han, Hongyao Tang, Yuan Li, Guang Kou, Leilei Liu
2020	A*	`conf`	KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. IJCAI Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020	J	`jnl`	KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. CoRR Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020	—	`conf`	Large Scale Deep Reinforcement Learning in War-games. BIBM Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma
2020	J	`jnl`	Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
2020	—	`conf`	MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen
2020	A	`conf`	Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. AAMAS Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao
2020	A*	`conf`	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020	J	`jnl`	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020	J	`jnl`	Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
2020	J	`jnl`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020	J	`jnl`	What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
2019	A*	`conf`	An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. AAAI Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang
2019	A	`conf`	An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. AAMAS Hongyao Tang, Jianye Hao, Li Wang, Zan Wang, Tim Baarslag
2019	A*	`conf`	Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. IJCAI Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
2019	J	`jnl`	Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. CoRR Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
2019	J	`jnl`	Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
2019	J	`jnl`	Efficient meta reinforcement learning via meta goal generation. CoRR Haotian Fu, Hongyao Tang, Jianye Hao
2018	J	`jnl`	An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems. CoRR Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao
2018	J	`jnl`	Hierarchical Deep Multiagent Reinforcement Learning. CoRR Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang
2017	—	`conf`	A real-time ensemble classification algorithm for time series data. ICA Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao