research
∙
08/30/2023
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification
A well-defined reward function is crucial for successful training of an ...
share
research
∙
07/29/2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Explanations have gained an increasing level of interest in the AI and M...
research
∙
07/18/2022
Boolean Decision Rules for Reinforcement Learning Policy Summarisation
Explainability of Reinforcement Learning (RL) policies remains a challen...
research
∙
12/17/2021
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents
In complex tasks where the reward function is not straightforward and co...
research
∙
07/02/2021
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization
The pipeline optimization problem in machine learning requires simultane...
research
∙
06/15/2020
User Profiling from Reviews for Accurate Time-Based Recommendations
Recommender systems are a valuable way to engage users in a system, incr...
research
∙
02/02/2019