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David C. Parkes — most-cited papers & profile · Large Language Models
← authors
·
overview
David C. Parkes
14
papers ·
75
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
2020 · 44 citations
Learning to Collaborate in Markov Decision Processes
2019 · 14 citations
Explainable Reinforcement Learning via Model Transforms
2022 · 7 citations
Decision-Aware Conditional GANs for Time Series Data
2020 · 5 citations
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
2021 · 2 citations
Reinforcement Learning with Stepwise Fairness Constraints
2022 · 2 citations
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design
2022 · 1 citations
Reinforcement Learning of Sequential Price Mechanisms
2020
Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study
2022
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
2022
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization
2024
Deep Reinforcement Learning for Sequential Combinatorial Auctions
2024
Principal-Agent Reinforcement Learning: Orchestrating AI Agents with Contracts
2024
Top co-authors
Ermis Soumalias
· 1
Kehang Zhu
· 1
Michael Curry
· 1
Sven Seuken
· 1
Yanchen Jiang
· 1
Topics
Multi-Agent
Model-Based RL
Value-Based
Game AI
Safe RL
Policy Gradient
Meta-RL
GANs
Conditioning & Control
RLHF & Alignment