5 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
Explorative Imitation Learning: A Path Signature Approach for Continuous Environments
Nathan Gavenski, Juarez Monteiro, Felipe Meneguzzi +2
Some imitation learning methods combine behavioural cloning with self-supervision to infer actions from state pairs. However, most rely on a large number of expert trajectories to…
Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
Nathan Gavenski, Michael Luck, Odinaldo Rodrigues
Imitation learning field requires expert data to train agents in a task. Most often, this learning approach suffers from the absence of available data, which results in techniques…
Identifying Reasons for Bias: An Argumentation-Based Approach
Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu
As algorithmic decision-making systems become more prevalent in society, ensuring the fairness of these systems is becoming increasingly important. Whilst there has been substantia…
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations
Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu
Bias mitigation methods for binary classification decision-making systems have been widely researched due to the ever-growing importance of designing fair machine learning processe…