From the 1 of 6 linked papers with an AI index.
6 papers
Efficiency, Feasibility, and Incentive-Awareness in Constrained Online Resource Allocation
Yan Dai, Negin Golrezaei, Patrick Jaillet
The paper proposes an Incentive-Aware Primal-Dual framework for allocating indivisible resources to strategic agents under long‑term constraints, achieving near‑optimal social welf…
Market Design for AI: Beyond the Copyright Binary
Yan Dai, Maryam Farboodi, Negin Golrezaei +1
How can we design a market of human-generated content for use in training AI models that both enables technological progress and preserves individual incentives for high-quality co…
Non-Monetary Mechanism Design without Priors: Achieving Efficiency via Adaptive Costly Audits
Yan Dai, Moise Blanchard, Patrick Jaillet
We study repeated resource allocation with strategic agents, where monetary transfers are disallowed and the planner has no prior information on agents' utility distributions. Insp…
Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
Yanning Dai, Yuhui Wang, Dylan R. Ashley +1
Morphology-control co-design concerns the coupled optimization of an agent's body structure and control policy. This problem exhibits a bi-level structure, where the control dynami…
A Unified Framework for Rethinking Policy Divergence Measures in GRPO
Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan +6
Reinforcement Learning with Verified Reward (RLVR) has emerged as a critical paradigm for advancing the reasoning capabilities of Large Language Models (LLMs). Most existing RLVR m…
Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
Mohannad Alhakami, Dylan R. Ashley, Joel Dunham +4
Advanced machine learning algorithms require platforms that are extremely robust and equipped with rich sensory feedback to handle extensive trial-and-error learning without relyin…