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08/01/2023
Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings
Foundation models could eventually introduce several pathways for underm...
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12/09/2022
Measuring Data
We identify the task of measuring data to quantitatively characterize th...
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04/22/2022
Reward Reports for Reinforcement Learning
The desire to build good systems in the face of complex societal effects...
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03/17/2022
Investigating Compounding Prediction Errors in Learned Dynamics Models
Accurately predicting the consequences of agents' actions is a key prere...
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02/11/2022
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems
In the long term, reinforcement learning (RL) is considered by many AI t...
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01/27/2022
The Challenges of Exploration for Offline Reinforcement Learning
Offline Reinforcement Learning (ORL) enablesus to separately study the t...
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08/31/2021
BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-agent and Swarm Control
Decentralized control in multi-robot systems is dependent on accurate an...
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04/26/2021
Axes for Sociotechnical Inquiry in AI Research
The development of artificial intelligence (AI) technologies has far exc...
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02/26/2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Model-based Reinforcement Learning (MBRL) is a promising framework for l...
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02/04/2021
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
Despite interest in communicating ethical problems and social contexts w...
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09/02/2020
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning
Nonholonomic control is a candidate to control nonlinear systems with pa...
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02/11/2020
Objective Mismatch in Model-based Reinforcement Learning
Model-based reinforcement learning (MBRL) has been shown to be a powerfu...
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09/26/2019