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08/04/2022
The Role of Environmental Variations in Evolutionary Robotics: Maximizing Performance and Robustness
Exposing evolving robots to variable conditions is necessary to obtain s...
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05/16/2022
Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents
In this paper we analyze the qualitative differences between evolutionar...
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02/17/2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach
We demonstrate how an evolutionary algorithm can be extended with a curr...
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11/23/2020
The Dynamic of Body and Brain Co-Evolution
We introduce a method that permits to co-evolve the body and the control...
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09/15/2020
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents
As discussed in previous studies, the efficacy of evolutionary or reinfo...
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12/11/2019
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization
We analyze the efficacy of modern neuro-evolutionary strategies for cont...
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09/18/2019
Long-Term Progress and Behavior Complexification in Competitive Co-Evolution
The possibility to use competitive evolutionary algorithms to generate l...
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10/22/2018
Scaling Up Cartesian Genetic Programming through Preferential Selection of Larger Solutions
We demonstrate how efficiency of Cartesian Genetic Programming method ca...
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10/02/2018
Robust Optimization through Neuroevolution
We propose a method for evolving solutions that are robust with respect ...
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12/12/2017
Robustness, Evolvability and Phenotypic Complexity: Insights from Evolving Digital Circuits
We show how the characteristics of the evolutionary algorithm influence ...
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10/22/2017