288 citations · 511 across the 11 of their papers we have counts for
12 papers
Advantage-Driven Explicit Memory for Social Navigation
Yeonsoo Park, Mattia Racca, Guillaume Bono +4
Robot policies are predominantly learned with classical parametric variants of imitation learning or RL, where training stores the agent's behavior exclusively in the policy's netw…
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
Tomi Silander, Janne Leppä-aho, Elias Jääsaari +1
We introduce an information theoretic criterion for Bayesian network structure learning which we call quotient normalized maximum likelihood (qNML). In contrast to the closely rela…
Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses
Vassilissa Lehoux-Lebacque, Tomi Silander, Christelle Loiodice +3
Multi-Agent Path Finding (MAPF) is an important optimization problem underlying the deployment of robots in automated warehouses and factories. Despite the large body of work on th…
Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning
Michel Aractingi, Pierre-Alexandre Léziart, Thomas Flayols +3
Quadruped robots require robust and general locomotion skills to exploit their mobility potential in complex and challenging environments. In this work, we present the first implem…
Learning Synthetic to Real Transfer for Localization and Navigational Tasks
Maxime Pietrantoni, Boris Chidlovskii, Tomi Silander
Autonomous navigation consists in an agent being able to navigate without human intervention or supervision, it affects both high level planning and low level control. Navigation i…
Non-Markovian Control with Gated End-to-End Memory Policy Networks
Julien Perez, Tomi Silander
Partially observable environments present an important open challenge in the domain of sequential control learning with delayed rewards. Despite numerous attempts during the two la…