output
20152020
most citedThe evolutionary origins of hierarchy

123 citations

8 papers

cs.AI2020★ 1 cited

On Bellman's Optimality Principle for zs-POSGs

Olivier Buffet, Jilles Dibangoye, Aurélien Delage +2

Many non-trivial sequential decision-making problems are efficiently solved by relying on Bellman's optimality principle, i.e., exploiting the fact that sub-problems are nested rec…

cs.RO2019★ 33 cited

Adaptive Prior Selection for Repertoire-based Online Adaptation in Robotics

Rituraj Kaushik, Pierre Desreumaux, Jean-Baptiste Mouret

Repertoire-based learning is a data-efficient adaptation approach based on a two-step process in which (1) a large and diverse set of policies is learned in simulation, and (2) a p…

cs.LG2018★ 11 cited

Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards

Rituraj Kaushik, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret

The most data-efficient algorithms for reinforcement learning in robotics are model-based policy search algorithms, which alternate between learning a dynamical model of the robot…

cs.NE2018★ 75 cited

Discovering the Elite Hypervolume by Leveraging Interspecies Correlation

Vassilis Vassiliades, Jean-Baptiste Mouret

Evolution has produced an astonishing diversity of species, each filling a different niche. Algorithms like MAP-Elites mimic this divergent evolutionary process to find a set of be…

cs.NE2018★ 36 cited

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Joel Lehman, Jeff Clune, Dusan Misevic +50

Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them. However, because evolution is an algorithmic pr…

cs.NE2017★ 45 cited

Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination

Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret

The MAP-Elites algorithm produces a set of high-performing solutions that vary according to features defined by the user. This technique has the potential to be a powerful tool for…

cs.AI2016★ 9 cited

Micro-Data Learning: The Other End of the Spectrum

Jean-Baptiste Mouret

Many fields are now snowed under with an avalanche of data, which raises considerable challenges for computer scientists. Meanwhile, robotics (among other fields) can often only us…

cs.NE2015★ 123 cited

The evolutionary origins of hierarchy

Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret +1

Hierarchical organization -- the recursive composition of sub-modules -- is ubiquitous in biological networks, including neural, metabolic, ecological, and genetic regulatory netwo…