11 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies
Alberta Longhini, David Emukpere, Jean-Michel Renders +1
We address the problem of fine-tuning pre-trained generative policies with reinforcement learning (RL) while preserving the multimodality of their action distributions. Existing me…
SLIM: Skill Learning with Multiple Critics
David Emukpere, Bingbing Wu, Julien Perez +1
Self-supervised skill learning aims to acquire useful behaviors that leverage the underlying dynamics of the environment. Latent variable models, based on mutual information maximi…
Successor Feature Neural Episodic Control
David Emukpere, Xavier Alameda-Pineda, Chris Reinke
A longstanding goal in reinforcement learning is to build intelligent agents that show fast learning and a flexible transfer of skills akin to humans and animals. This paper invest…