Showing 1–20 of 33 results
/ Date/ Name
Aug 15, 2022AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-NJan 18, 2022Solving Dynamic Principal-Agent Problems with a Rationally Inattentive PrincipalJul 1, 2019Learning World Graphs to Accelerate Hierarchical Reinforcement LearningAug 5, 2021The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement LearningMar 20, 2018Generating Multi-Agent Trajectories using Programmatic Weak SupervisionMay 29, 2019On the Generalization Gap in Reparameterizable Reinforcement LearningJun 10, 2021Learning to Play General-Sum Games Against Multiple Boundedly Rational AgentsJan 3, 2022Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement LearningOct 31, 2017Long-term Forecasting using Higher Order Tensor RNNsMar 11, 2018Detecting Adversarial Examples via Neural FingerprintingApr 28, 2020The AI Economist: Improving Equality and Productivity with AI-Driven Tax PoliciesMay 2, 2020ESPRIT: Explaining Solutions to Physical Reasoning TasksFeb 13, 2020Multiresolution Tensor Learning for Efficient and Interpretable Spatial AnalysisJan 30, 2019NAOMI: Non-Autoregressive Multiresolution Sequence ImputationJun 21, 2017Generating Long-term Trajectories Using Deep Hierarchical NetworksAug 31, 2021WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPUAug 6, 2021Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI EconomistFeb 19, 2018Multi-resolution Tensor Learning for Large-Scale Spatial DataApr 15, 2016Improving the Robustness of Deep Neural Networks via Stability TrainingMar 25, 2022Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study