Hanhan Zhou
Orcid: 0000-0002-3896-9744
According to our database1,
Hanhan Zhou
authored at least 12 papers
between 2021 and 2024.
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Bibliography
2024
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning.
CoRR, 2023
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning.
CoRR, 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning.
CoRR, 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning.
CoRR, 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning.
CoRR, 2022
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer.
CoRR, 2021