Hongyao Tang

1. Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
   2020/02/10 by Yaodong Yang, Yang, Yaodong, Jianye Hao +11 · 12 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
2. HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
   2021/09/12 by Boyan Li, Hongyao Tang, Li, Boyan +13 · 11 citations
   Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
3. Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
   2024/01/22 by Pengyi Li, Jianye Hao, Li, Pengyi +9 · 10 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
4. Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
   2020/02/10 by Yaodong Yang, Jianye Hao, Yang, Yaodong +13 · 4 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Smart Grid Security and Resilience
5. ERL-Re²: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
   2022/10/26 by Jianye Hao, Hao, Jianye, Pengyi Li +9 · 4 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
6. PMIC: Improving Multi-Agent Reinforcement Learning with Progressive\n Mutual Information Collaboration
   2022/03/16 by Pengyi Li, Li, Pengyi, Tang, Hongyao +16 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Psychology · #Action Observation and Synchronization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Insect and Arachnid Ecology and Behavior #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
7. KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
   2020/02/18 by Peng Zhang, Zhang, Peng, Jianye Hao +11 · 2 citations
   Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning and ELM #Reinforcement Learning in Robotics
8. Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
   2024/09/07 by Hongyao Tang, Glen Berseth, Tang, Hongyao +1 · 7 citations
   Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Transportation and Mobility Innovations
9. MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning
   2024/07/06 by Min Zhang, Xi’an Fu, Zhang, Min +13 · 4 citations
   Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
10. Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
    2025/05/31 by Hongyao Tang, Johan Obando-Ceron, Tang, Hongyao +7 · 5 citations
    Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies
11. Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
    2020/09/29 by Haotian Fu, Fu, Haotian, Hongyao Tang +11 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics