2 papers
cs.HC2024
iToT: An Interactive System for Customized Tree-of-Thought Generation
Alan Boyle, Isha Gupta, Sebastian Hönig +4
As language models have become increasingly successful at a wide array of tasks, different prompt engineering methods have been developed alongside them in order to adapt these mod…
cs.LG2024
How to Choose a Reinforcement-Learning Algorithm
Fabian Bongratz, Vladimir Golkov, Lukas Mautner +5
The field of reinforcement learning offers a large variety of concepts and methods to tackle sequential decision-making problems. This variety has become so large that choosing an…