David C. Parkes

Full Professor@Harvard University·美国·OpenReview

研究方向

Multi-agent systems · Digital economy · Machine learning · Market design · Preference modeling · Bounded rationality · Mechanism design · Algorithmic economics

7.0

BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization

NeurIPS 2025Poster

三作

7.3

Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination

NeurIPS 2025Spotlight

三作

6.3

Evidence from the Synthetic Laboratory: Language Models as Auction Participants

ICLR 2025Withdrawn

通讯

5.8

Deep Reinforcement Learning for Sequential Combinatorial Auctions

ICLR 2025Rejected

通讯

5.5

Principal-Agent Reinforcement Learning: Orchestrating AI Agents with Contracts

合作者 (20)

Sai Srivatsa Ravindranath

David C. Parkes

Learning to Play Multi-Follower Bayesian Stackelberg Games

LLM-Powered Preference Elicitation in Combinatorial Assignment

Learning from Synthetic Labs: Language Models as Auction Participants

Deep Learning for Two-Sided Matching

BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization

Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination

Evidence from the Synthetic Laboratory: Language Models as Auction Participants

Deep Reinforcement Learning for Sequential Combinatorial Auctions

Principal-Agent Reinforcement Learning: Orchestrating AI Agents with Contracts