Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization

11 December 2019

Papers citing "Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization"

10 / 10 papers shown

Title
Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning Matyáš Lorenc OffRL 75 0 0 10 Feb 2025
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Jason K. Eshraghian 38 52 0 18 May 2023
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing Bryon Tjanaka Matthew C. Fontaine David H. Lee Aniruddha Kalkar Stefanos Nikolaidis 68 8 0 06 Oct 2022
The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness J. Carvalho S. Nolfi 21 8 0 04 Aug 2022
Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents Nicola Milano S. Nolfi 20 0 0 16 May 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning Bryon Tjanaka Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis 38 50 0 08 Feb 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 62 55 0 28 Sep 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach Nicola Milano S. Nolfi 92 10 0 17 Feb 2021
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents Nicola Milano S. Nolfi 16 0 0 15 Sep 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 2020