Reusing Multimodal Agents: Efficient Evaluation of Sound Designs in Games
A novel framework for efficiently evaluating in-game sound designs using multimodal learning and reinforcement learning is introduced, which can detect differences in agent performance caused by degraded or altered sound design.
Thai Nguyen Van, Ibrahim Khan, M. F. Dewantoro et al.
· IEEE Transactions on Games · 0 citations