most citedDirect Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NE2022★ 1 cited

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

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.…

cs.LG2022

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

Tarek Faycal, Claudio Zito

In this work we present a preliminary investigation of a novel algorithm called Dyna-T. In reinforcement learning (RL) a planning agent has its own representation of the environmen…