Tonghan Wang
15 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Artificial Intelligence
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multi-agent reinforcement learning
(6)
greedy action selection
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coordination graph
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nash equilibrium
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mutual information
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reinforcement learning
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deep learning
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robot control
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linear programming
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off-policy learning
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graph topology
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pragmatic reasoning
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diffusion model
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piecewise linear
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optimization algorithm
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restless multi-armed bandit
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incentive compatibility
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polynomial time
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Papers
Robust Optimization with Diffusion Models for Green Security
UAI 2025
The Bandit Whisperer: Communication Learning for Restless Bandits
AAAI 2025
Multi-Sender Persuasion: A Computational Perspective
ICML 2024
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
ICML 2024
Deep Contract Design via Discontinuous Networks
NeurIPS 2023
Symmetry-Aware Robot Design with Structured Subgroups
ICML 2023
Context-Aware Sparse Deep Coordination Graphs
ICLR 2022
Low-Rank Modular Reinforcement Learning via Muscle Synergy
NeurIPS 2022
Non-Linear Coordination Graphs
NeurIPS 2022
Self-Organized Polynomial-Time Coordination Graphs
ICML 2022
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
NeurIPS 2021
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients
ICLR 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks
ICLR 2021
Incorporating Pragmatic Reasoning Communication into Emergent Language
NeurIPS 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ICML 2020