1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Exploration by Running Away from the Past
Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Koenigsbuch +2
The ability to explore efficiently and effectively is a central challenge of reinforcement learning. In this work, we consider exploration through the lens of information theory. S…
cs.AI2024★ 1 cited
Exploration by Learning Diverse Skills through Successor State Measures
Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Konigsbuch +2
The ability to perform different skills can encourage agents to explore. In this work, we aim to construct a set of diverse skills which uniformly cover the state space. We propose…