451 citations · 2.2k across the 99 of their papers we have counts for
6 papers · 1 filter
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
Nicolas Lair, Cédric Colas, Rémy Portelas +3
Autonomous reinforcement learning agents, like children, do not have access to predefined goals and reward functions. They must discover potential goals, learn their own reward fun…
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
Rémy Portelas, Cédric Colas, Katja Hofmann +1
We consider the problem of how a teacher algorithm can enable an unknown Deep Reinforcement Learning (DRL) student to become good at a skill over a wide range of diverse environmen…
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer
In many complex dynamical systems, artificial or natural, one can observe self-organization of patterns emerging from local rules. Cellular automata, like the Game of Life (GOL), h…
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots
Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer
The automatic and efficient discovery of skills, without supervision, for long-living autonomous agents, remains a challenge of Artificial Intelligence. Intrinsically Motivated Goa…
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
Consistently checking the statistical significance of experimental results is the first mandatory step towards reproducible science. This paper presents a hitchhiker's guide to rig…
Computational and Robotic Models of Early Language Development: A Review
Pierre-Yves Oudeyer, George Kachergis, William Schueller
We review computational and robotics models of early language learning and development. We first explain why and how these models are used to understand better how children learn l…