42 citations · 57 across the 6 of their papers we have counts for
4 papers · 1 filter
Dynamic Tool Dependency Retrieval for Lightweight Function Calling
Bhrij Patel, Davide Belli, Amir Jalalirad +3
Function calling agents powered by Large Language Models (LLMs) select external tools to automate complex tasks. On-device agents typically use a retrieval module to select relevan…
Temporal Alignment for History Representation in Reinforcement Learning
Aleksandr Ermolov, Enver Sangineto, Nicu Sebe
Environments in Reinforcement Learning are usually only partially observable. To address this problem, a possible solution is to provide the agent with information about the past.…
Latent World Models For Intrinsically Motivated Exploration
Aleksandr Ermolov, Nicu Sebe
In this work we consider partially observable environments with sparse rewards. We present a self-supervised representation learning method for image-based observations, which arra…
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov, Aliaksandr Siarohin, Enver Sangineto +1
Most of the current self-supervised representation learning (SSL) methods are based on the contrastive loss and the instance-discrimination task, where augmented versions of the sa…