3 papers
cs.LG2026
Leveraging Human Feedback for Semantically-Relevant Skill Discovery
Maxence Hussonnois, Thommen George Karimpanal, Santu Rana
Unsupervised skill discovery in reinforcement learning aims to intrinsically motivate agents to discover diverse and useful behaviours. However, unconstrained approaches can produc…
cs.LG2025
Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment
Maxence Hussonnois, Thommen George Karimpanal, Santu Rana
Unsupervised skill discovery in Reinforcement Learning aims to mimic humans' ability to autonomously discover diverse behaviors. However, existing methods are often unconstrained,…
cs.LG2023
Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills
Maxence Hussonnois, Thommen George Karimpanal, Santu Rana
Autonomously learning diverse behaviors without an extrinsic reward signal has been a problem of interest in reinforcement learning. However, the nature of learning in such mechani…