Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks

no code implementations • 13 Jan 2022 • Tarek Faycal, Claudio Zito

Neuroevolution has recently been shown to be quite competitive in reinforcement learning (RL) settings, and is able to alleviate some of the drawbacks of gradient-based approaches.

OpenAI Gym reinforcement-learning +1

Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees

no code implementations • 12 Jan 2022 • Tarek Faycal, Claudio Zito

In reinforcement learning (RL) a planning agent has its own representation of the environment as a model.

Reinforcement Learning (RL)