1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Progressive growing of self-organized hierarchical representations for exploration
Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke
Designing agent that can autonomously discover and learn a diversity of structures and skills in unknown changing environments is key for lifelong machine learning. A central chall…
cs.LG2020★ 1 cited
Time Adaptive Reinforcement Learning
Chris Reinke
Reinforcement learning (RL) allows to solve complex tasks such as Go often with a stronger performance than humans. However, the learned behaviors are usually fixed to specific tas…
cs.LG2019
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…