Hongyao Tang
Orcid: 0000-0001-7478-7684
According to our database1,
Hongyao Tang
authored at least 47 papers
between 2017 and 2025.
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Bibliography
2025
2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Tactile Electronic Skin With Curved Surface Compensation by In Situ Curvature Self-Sensing.
IEEE Trans. Instrum. Meas., 2024
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning.
CoRR, 2024
CoRR, 2024
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning.
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.
CoRR, 2023
Reining Generalization in Offline Reinforcement Learning via Representation Distinction.
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.
Proceedings of the International Conference on Machine Learning, 2023
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.
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.
IEEE Trans. Instrum. Meas., 2022
CoRR, 2022
ERL-Re<sup>2</sup>: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.
CoRR, 2022
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes.
CoRR, 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
CoRR, 2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
Proceedings of the International Conference on Machine Learning, 2022
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
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.
CoRR, 2020
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.
CoRR, 2020
CoRR, 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.
CoRR, 2019
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems.
CoRR, 2018
2017
Proceedings of the IEEE International Conference on Agents, 2017