Linus Gisslén

CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories

2022 · arXiv (Cornell University)

This paper proposes a novel deep reinforcement learning algorithm to perform automatic analysis and detection of gameplay issues in complex 3D navigation environments. The Curiosity-Conditioned Proximal Trajectories (CCPT) method combines curiosity and imitation learning to …

Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents

2021 · arXiv (Cornell University)

As modern games continue growing both in size and complexity, it has become more challenging to ensure that all the relevant content is tested and that any potential issue is properly identified and fixed. Attempting …