Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
2026Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
2025BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
2025Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
2025Robust Optimization with Diffusion Models for Green Security
2025On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
2025The Bandit Whisperer: Communication Learning for Restless Bandits
2025GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning
2024Multi-Sender Persuasion: A Computational Perspective
2024Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
2024Deep Contract Design via Discontinuous Neural Networks
2023Symmetry-Aware Robot Design with Structured Subgroups
2023Low-Rank Modular Reinforcement Learning via Muscle Synergy
2022Non-Linear Coordination Graphs
2022Self-Organized Polynomial-Time Coordination Graphs
2022Context-Aware Sparse Deep Coordination Graphs
2022Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
2021RODE: Learning Roles to Decompose Multi-Agent Tasks
2021DOP: Off-Policy Multi-Agent Decomposed Policy Gradients
2021Incorporating Pragmatic Reasoning Communication into Emergent Language
2020ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
2020Influence-Based Multi-Agent Exploration
2020Learning Nearly Decomposable Value Functions with Communication Minimization
2020Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games
2019Compact Object Representation of a Non-Rigid Object for Real-Time Tracking in AR Systems
2018