Continual Reinforcement Learning with Neuroevolution
cs.NE, cs.LG
Submitted: 2026-10-01
Updated: 2026-10-02
Code: https://github.com/eleninisioti/continual_neuroevolution
Terminology
Sources
- Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
- On the Measure of Intelligence
- Don't forget, there is more than forgetting: new metrics for Continual Learning
- The CMA Evolution Strategy: A Tutorial
- Population Based Training of Neural Networks
- Plasticity Loss in Deep Reinforcement Learning: A Survey
- Solving Rubik's Cube with a Robot Hand
- A Survey of Continual Reinforcement Learning
- Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
- Evolution Strategies as a Scalable Alternative to Reinforcement Learning
- Proximal Policy Optimization Algorithms
- Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
- MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments
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