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08/08/2023
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback
To use reinforcement learning from human feedback (RLHF) in practical ap...
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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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05/25/2023
Learning Safety Constraints from Demonstrations with Unknown Rewards
We propose Convex Constraint Learning for Reinforcement Learning (CoCoRL...
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01/12/2023
Tracr: Compiled Transformers as a Laboratory for Interpretability
Interpretability research aims to build tools for understanding machine ...
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10/03/2022
Red-Teaming the Stable Diffusion Safety Filter
Stable Diffusion is a recent open-source image generation model comparab...
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07/18/2022
Active Exploration for Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is a powerful paradigm for inferrin...
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06/27/2022
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning
Reinforcement learning (RL) commonly assumes access to well-specified re...
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06/10/2022
Interactively Learning Preference Constraints in Linear Bandits
We study sequential decision-making with known rewards and unknown const...
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01/24/2022
Scalable Safe Exploration for Global Optimization of Dynamical Systems
Learning optimal control policies directly on physical systems is challe...
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06/02/2021
Addressing the Long-term Impact of ML Decisions via Policy Regret
Machine Learning (ML) increasingly informs the allocation of opportuniti...
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04/08/2021
Learning What To Do by Simulating the Past
Since reward functions are hard to specify, recent work has focused on l...
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02/24/2021
Information Directed Reward Learning for Reinforcement Learning
For many reinforcement learning (RL) applications, specifying a reward i...
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01/29/2021
Challenges for Using Impact Regularizers to Avoid Negative Side Effects
Designing reward functions for reinforcement learning is difficult: besi...
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06/30/2019
Detecting Spiky Corruption in Markov Decision Processes
Current reinforcement learning methods fail if the reward function is im...
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03/27/2019