JW
Jianhong Wang
cs.LGcs.AIcs.MAcs.SYeess.SYcs.CVcs.GTcs.CLcs.HCcs.NA
On Valency
published · living versionsW_dweptt9v·v1 · currentpublished
An Axiomatic Framework for Reinforcement Learning in Open Multi-Agent Systems
with Yang Li, Samuel Kaski, Jonathan Lawry
1 version
Preprints & journals
24 papers in the corpus · 2017–2026PowerMarketJax: A JAX Benchmark Suite for Multi-Agent Reinforcement Learning in Power Markets2609.37321v1 · Zhanhua Pan, Xin Qin, Xiao Liu et al.2026 · 0 citationsarXiv
PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning2609.36052v1 · Zhanhua Pan, Xiao Liu, Zhilong Cao et al.2026 · 0 citationsarXiv
Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales2607.04972v1 · Yang Li, Feng Xue, Fan Mo et al.2026 · 0 citationsarXiv
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork2506.11285v1 · Jianhong Wang, Yang Li, Samuel Kaski et al.2025 · 0 citationsarXiv
Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing2502.07829v1 · Sihao Wu, Xiaonan Si, Chi Xing et al.2025 · 1 citationarXiv
Attaining Human`s Desirable Outcomes in Human-AI Interaction via Structural Causal Games2405.16588v1 · Anjie Liu, Jianhong Wang, Haoxuan Li et al.2024 · 0 citationsarXiv
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming2405.12604v2 · Jiaxu Liu, Xiangyu Yin, Sihao Wu et al.2024 · 1 citationarXiv
Open Ad Hoc Teamwork with Cooperative Game Theory2402.15259v5 · Jianhong Wang, Yang Li, Yuan Zhang et al.2024 · 0 citationsarXiv
Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network2402.15324v1 · Jianhong Wang2024 · 0 citationsarXiv
Aligning Individual and Collective Objectives in Multi-Agent Cooperation2402.12416v3 · Yang Li, Wenhao Zhang, Jianhong Wang et al.2024 · 2 citationsarXiv
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning2312.10587v2 · Wangkun Xu, Jianhong Wang, Fei Teng2023 · 7 citationsarXiv
Invariant Learning via Probability of Sufficient and Necessary Causes2309.12559v5 · Mengyue Yang, Zhen Fang, Yonggang Zhang et al.2023 · 14 citationsarXiv
MANSA: Learning Fast and Slow in Multi-Agent Systems2302.05910v3 · David Mguni, Haojun Chen, Taher Jafferjee et al.2023 · 2 citationsarXiv
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction2209.01054v2 · Taher Jafferjee, Juliusz Ziomek, Tianpei Yang et al.2022 · 1 citationarXiv
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization2207.02016v4 · Yuan Zhang, Jianhong Wang, Joschka Boedecker2022 · 1 citationarXiv
Learning to Estimate and Refine Fluid Motion with Physical Dynamics2206.10480v2 · Mingrui Zhang, Jianhong Wang, James Tlhomole et al.2022 · 6 citationsarXiv
Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach2204.12970v2 · Wangkun Xu, Martin Higgins, Jianhong Wang et al.2022 · 38 citationsarXiv
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning2112.02618v2 · David Henry Mguni, Taher Jafferjee, Jianhong Wang et al.2021 · 6 citationsarXiv
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks2110.14300v5 · Jianhong Wang, Wangkun Xu, Yunjie Gu et al.2021 · 113 citationsarXiv
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning2105.15013v7 · Jianhong Wang, Yuan Zhang, Yunjie Gu et al.2021 · 12 citationsarXiv
Learning to Shape Rewards using a Game of Two Partners2103.09159v5 · David Mguni, Taher Jafferjee, Jianhong Wang et al.2021 · 4 citationsarXiv
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System2006.06814v4 · Jianhong Wang, Yuan Zhang, Tae-Kyun Kim et al.2020 · 31 citationsarXiv
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games1907.05707v6 · Jianhong Wang, Yuan Zhang, Tae-Kyun Kim et al.2019 · 105 citationsAAAI 2020
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning1711.11511v5 · Rui Luo, Jianhong Wang, Yaodong Yang et al.2017 · 9 citationsarXiv
Career total: 40 works. 24 are in this corpus.
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