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07/27/2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Reinforcement learning from human feedback (RLHF) is a technique for tra...
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02/27/2023
Active Reward Learning from Online Preferences
Robot policies need to adapt to human preferences and/or new environment...
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11/25/2022
Assistive Teaching of Motor Control Tasks to Humans
Recent works on shared autonomy and assistive-AI technologies, such as a...
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10/19/2022
Learning Preferences for Interactive Autonomy
When robots enter everyday human environments, they need to understand t...
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05/16/2022
How do people incorporate advice from artificial agents when making physical judgments?
How do people build up trust with artificial agents? Here, we study a ke...
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03/08/2022
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
Multi-agent interactions are important to model for forecasting other ag...
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10/02/2021
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
When humans collaborate with each other, they often make decisions by ob...
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10/01/2021
Learning Reward Functions from Scale Feedback
Today's robots are increasingly interacting with people and need to effi...
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09/27/2021
Learning Multimodal Rewards from Rankings
Learning from human feedback has shown to be a useful approach in acquir...
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08/16/2021
APReL: A Library for Active Preference-based Reward Learning Algorithms
Reward learning is a fundamental problem in robotics to have robots that...
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05/13/2021
Emergent Prosociality in Multi-Agent Games Through Gifting
Coordination is often critical to forming prosocial behaviors – behavior...
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05/06/2021
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy
Traffic congestion has large economic and social costs. The introduction...
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03/03/2021
Preference-based Learning of Reward Function Features
Preference-based learning of reward functions, where the reward function...
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12/28/2020
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic
The COVID-19 pandemic has severely affected many aspects of people's dai...
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11/09/2020
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes
Characterizing what types of exoskeleton gaits are comfortable for users...
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08/10/2020
Multi-Agent Safe Planning with Gaussian Processes
Multi-agent safe systems have become an increasingly important area of s...
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07/01/2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Autonomous driving has achieved significant progress in recent years, bu...
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06/24/2020
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences
Reward functions are a common way to specify the objective of a robot. A...
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05/06/2020
Active Preference-Based Gaussian Process Regression for Reward Learning
Designing reward functions is a challenging problem in AI and robotics. ...
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01/13/2020
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans
In order to collaborate safely and efficiently, robots need to anticipat...
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10/10/2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
Robots can learn the right reward function by querying a human expert. E...
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09/09/2019
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
Road congestion induces significant costs across the world, and road net...
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06/19/2019
Batch Active Learning Using Determinantal Point Processes
Data collection and labeling is one of the main challenges in employing ...
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04/03/2019
The Green Choice: Learning and Influencing Human Decisions on Shared Roads
Autonomous vehicles have the potential to increase the capacity of roads...
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04/01/2019
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models
We propose a safe exploration algorithm for deterministic Markov Decisio...
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10/29/2018
Altruistic Autonomy: Beating Congestion on Shared Roads
Traffic congestion has large economic and social costs. The introduction...
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10/10/2018
