Search Results for author: Penny Sweetser

Found 3 papers, 2 papers with code

Large Language Models and Video Games: A Preliminary Scoping Review

no code implementations5 Mar 2024 Penny Sweetser

Large language models (LLMs) hold interesting potential for the design, development, and research of video games.

Atari-5: Distilling the Arcade Learning Environment down to Five Games

1 code implementation5 Oct 2022 Matthew Aitchison, Penny Sweetser, Marcus Hutter

The Arcade Learning Environment (ALE) has become an essential benchmark for assessing the performance of reinforcement learning algorithms.

Atari Games

DNA: Proximal Policy Optimization with a Dual Network Architecture

1 code implementation20 Jun 2022 Matthew Aitchison, Penny Sweetser

We find that the common practice of learning these functions jointly is sub-optimal, due to an order-of-magnitude difference in noise levels between these two tasks.

Atari Games Reinforcement Learning (RL)

Cannot find the paper you are looking for? You can Submit a new open access paper.