A real-time ensemble classification algorithm for time series data. - Xianglei Zhu; Shuai Zhao; Yaodong Yang 002; Hongyao Tang; Zan Wang; Jianye Hao (ICA, 2017)

An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems. - Hongyao Tang; Li Wang; Zan Wang; Tim Baarslag; Jianye Hao (CoRR, 2018)

Hierarchical Deep Multiagent Reinforcement Learning. - Hongyao Tang; Jianye Hao; Tangjie Lv; Yingfeng Chen; Zongzhang Zhang; Hangtian Jia; Chunxu Ren; Yan Zheng 002; Changjie Fan; Li Wang (CoRR, 2018)

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. - Hongyao Tang; Jianye Hao; Li Wang; Tim Baarslag; Zan Wang (AAAI, 2019)

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. - Haotian Fu; Hongyao Tang; Jianye Hao; Zihan Lei; Yingfeng Chen; Changjie Fan (IJCAI, 2019)

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. - Hongyao Tang; Jianye Hao; Guangyong Chen; Pengfei Chen 003; Zhaopeng Meng; Yaodong Yang 002; Li Wang (CoRR, 2019)

Efficient meta reinforcement learning via meta goal generation. - Haotian Fu; Hongyao Tang; Jianye Hao (CoRR, 2019)

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 (AAMAS, 2020)

Large Scale Deep Reinforcement Learning in War-games. - Hanchao Wang; Hongyao Tang; Jianye Hao; Xiaotian Hao; Yue Fu; Yi Ma 005 (BIBM, 2020)

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. - Haotian Fu; Hongyao Tang; Jianye Hao; Wulong Liu; Chen Chen 077 (DAI, 2020)

Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge. - Xiaoxu Han; Hongyao Tang; Yuan Li; Guang Kou; Leilei Liu (ICANN (2), 2020)

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Guangyong Chen; Hongyao Tang; Yingfeng Chen; Yujing Hu; Changjie Fan; Zhongyu Wei (ICML, 2020)

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. - Peng Zhang; Jianye Hao; Weixun Wang; Hongyao Tang; Yi Ma 005; Yihai Duan; Yan Zheng 002 (IJCAI, 2020)

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Ben Liao; Kun Shao; Guangyong Chen; Wulong Liu; Hongyao Tang (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)

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Wulong Liu; Yaodong Yang 002 (CoRR, 2020)

Addressing Action Oscillations through Learning Policy Inertia. - Chen Chen 077; Hongyao Tang; Jianye Hao; Wulong Liu; Zhaopeng Meng (AAAI, 2021)

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. - Haotian Fu; Hongyao Tang; Jianye Hao; Chen Chen 077; Xidong Feng; Dong Li 016; Wulong Liu (AAAI, 2021)

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. - Hongyao Tang; Zhaopeng Meng; Guangyong Chen; Pengfei Chen 003; Chen Chen 077; Yaodong Yang 002; Luo Zhang; Wulong Liu; Jianye Hao (AAAI, 2021)

Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. - Tong Sang; Hongyao Tang; Jianye Hao; Yan Zheng 002; Zhaopeng Meng (DAI, 2021)

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Hangyu Mao; Dong Li 016; Wulong Liu; Yingfeng Chen; Yujing Hu; Changjie Fan; Chengwei Zhang 001 (NeurIPS, 2021)

Exploration in Deep Reinforcement Learning: A Comprehensive Survey. - Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Jianye Hao; Zhaopeng Meng; Peng Liu 008 (CoRR, 2021)

ED2: An Environment Dynamics Decomposition Framework for World Model Construction. - Cong Wang; Tianpei Yang; Jianye Hao; Yan Zheng 002; Hongyao Tang; Fazl Barez; Jinyi Liu 002; Jiajie Peng; Haiyin Piao; Zhixiao Sun (CoRR, 2021)

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Changmin Yu; Hangyu Mao; Wulong Liu; Yaodong Yang 002; Wenyuan Tao; Li Wang (AAAI, 2022)

Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. - Yining Li; Tianpei Yang; Jianye Hao; Yan Zheng 002; Hongyao Tang (DAI, 2022)

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. - Boyan Li; Hongyao Tang; Yan Zheng 002; Jianye Hao; Pengyi Li 001; Zhen Wang 004; Zhaopeng Meng; Li Wang (ICLR, 2022)

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. - Pengyi Li 001; Hongyao Tang; Tianpei Yang; Xiaotian Hao; Tong Sang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor; Wenyuan Tao; Zhen Wang 004 (ICML, 2022)

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. - Tong Sang; Hongyao Tang; Yi Ma 005; Jianye Hao; Yan Zheng 002; Zhaopeng Meng; Boyan Li; Zhen Wang 004 (IJCAI, 2022)

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. - Pengyi Li 001; Hongyao Tang; Tianpei Yang; Xiaotian Hao; Tong Sang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor; Zhen Wang 004 (CoRR, 2022)

Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes. - Min Zhang; Hongyao Tang; Jianye Hao; Yan Zheng 002 (CoRR, 2022)

ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. - Pengyi Li 001; Hongyao Tang; Jianye Hao; Yan Zheng 002; Xian Fu; Zhaopeng Meng (CoRR, 2022)

State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. - Chen Chen 077; Hongyao Tang; Yi Ma 005; Chao Wang; Qianli Shen; Dong Li 016; Jianye Hao (CoRR, 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)

ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. - Jianye Hao; Pengyi Li 001; Hongyao Tang; Yan Zheng 002; Xian Fu; Zhaopeng Meng (ICLR, 2023)

RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Yan Zheng 002; Xian Fu (ICML, 2023)

Reining Generalization in Offline Reinforcement Learning via Representation Distinction. - Yi Ma 005; Hongyao Tang; Dong Li 016; Zhaopeng Meng (NeurIPS, 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)

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning. - Xi Zeng; Xiaotian Hao; Hongyao Tang; Zhentao Tang; Shaoqing Jiao; Dazhi Lu; Jiajie Peng (AAAI, 2024)

EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. - Pengyi Li 001; Yan Zheng 002; Hongyao Tang; Xian Fu; Jianye Hao (ICML, 2024)

Value-Evolutionary-Based Reinforcement Learning. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Yan Zheng 002; Fazl Barez (ICML, 2024)

Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn. - Hongyao Tang; Glen Berseth (NeurIPS, 2024)

The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space. - Hongyao Tang; Min Zhang; Chen Chen 077; Jianye Hao (NeurIPS, 2024)

Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Xian Fu; Yan Zheng 002; Ke Tang (CoRR, 2024)

MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning. - Min Zhang; Jianye Hao; Xian Fu; Peilong Han; Hao Zhang 004; Lei Shi; Hongyao Tang; Yan Zheng 002 (CoRR, 2024)

Tactile Electronic Skin With Curved Surface Compensation by In Situ Curvature Self-Sensing. - Xiangyu Meng; Hongyao Tang; Xiaozhou Lü; Yaoguang Shi; Weimin Bao (IEEE Trans. Instrum. Meas., 2024)

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. - Jianye Hao; Tianpei Yang; Hongyao Tang; Chenjia Bai; Jinyi Liu 002; Zhaopeng Meng; Peng Liu 008; Zhen Wang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. - Yaodong Yang 002; Guangyong Chen; Hongyao Tang; Furui Liu; Danruo Deng; Pheng-Ann Heng (AAMAS, 2025)

Can We Optimize Deep RL Policy Weights as Trajectory Modeling? - Hongyao Tang (CoRR, 2025)

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. - Hongyao Tang; Johan S. Obando-Ceron; Pablo Samuel Castro; Aaron C. Courville; Glen Berseth (CoRR, 2025)

Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model. - Jing Liang; Hongyao Tang; Yi Ma 005; Jinyi Liu 002; Yan Zheng 002; Shuyue Hu; Lei Bai 001; Jianye Hao (CoRR, 2025)

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies. - Yi Ma 005; Hongyao Tang; Chenjun Xiao; Yaodong Yang 001; Wei Wei 018; Jianye Hao; Jiye Liang (CoRR, 2025)

Efficient Morphology-Aware Policy Transfer to New Embodiments. - Michael Przystupa; Hongyao Tang; Martin Jägersand; Santiago Miret; Mariano Phielipp; Matthew E. Taylor; Glen Berseth (CoRR, 2025)