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05/24/2023
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning
This paper proposes an unsupervised method that leverages topological ch...
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04/14/2023
Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning
A key challenge for a reinforcement learning (RL) agent is to incorporat...
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08/19/2022
Topical: Learning Repository Embeddings from Source Code using Attention
Machine learning on source code (MLOnCode) promises to transform how sof...
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10/29/2021
Learning to Be Cautious
A key challenge in the field of reinforcement learning is to develop age...
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11/02/2020
Useful Policy Invariant Shaping from Arbitrary Advice
Reinforcement learning is a powerful learning paradigm in which agents c...
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09/21/2020
Exploiting Submodular Value Functions For Scaling Up Active Perception
In active perception tasks, an agent aims to select sensory actions that...
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05/11/2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward
Information gathering in a partially observable environment can be formu...
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02/25/2016