research
∙
03/25/2022
Using Reinforcement Learning to Study Platform Economies under Market Shocks
Driven by rapid digitization and expansive internet access, market-drive...
share
research
∙
01/18/2022
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal
Principal-Agent (PA) problems describe a broad class of economic relatio...
research
∙
01/03/2022
Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning
Real economies can be modeled as a sequential imperfect-information game...
research
∙
08/06/2021
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist
Optimizing economic and public policy is critical to address socioeconom...
research
∙
08/05/2021
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
AI and reinforcement learning (RL) have improved many areas, but are not...
research
∙
04/28/2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
Tackling real-world socio-economic challenges requires designing and tes...
research
∙
02/10/2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Acquiring abilities in the absence of a task-oriented reward function is...
research
∙
11/04/2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
While using shaped rewards can be beneficial when solving sparse reward ...
research
∙
02/01/2019
Competitive Experience Replay
Deep learning has achieved remarkable successes in solving challenging r...
research
∙
12/23/2017
