54 citations · 227 across the 36 of their papers we have counts for
4 papers · 1 filter
APRIL: Active Preference-learning based Reinforcement Learning
Riad Akrour, Marc Schoenauer, Michèle Sebag
This paper focuses on reinforcement learning (RL) with limited prior knowledge. In the domain of swarm robotics for instance, the expert can hardly design a reward function or demo…
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
In this paper, we study the performance of IPOP-saACM-ES and BIPOP-saACM-ES, recently proposed self-adaptive surrogate-assisted Covariance Matrix Adaptation Evolution Strategies. B…
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
In this paper, we study the performance of IPOP-saACM-ES, recently proposed self-adaptive surrogate-assisted Covariance Matrix Adaptation Evolution Strategy. The algorithm was test…
Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy
Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
This paper presents a novel mechanism to adapt surrogate-assisted population-based algorithms. This mechanism is applied to ACM-ES, a recently proposed surrogate-assisted variant o…