CoG 2021
Fast Game Content Adaptation Through Bayesian-based Player Modelling
116 views
Author: Miguel González-Duque, Rasmus Berg Palm and Sebastian Risi.
Title: Fast Game Content Adaptation Through Bayesian-based Player Modelling.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021
Title: Fast Game Content Adaptation Through Bayesian-based Player Modelling.
Procedural Content Generation Track - Long Paper (20 min) - IEEE Conference on Games 2021
RELATED VIDEOS
CoG 2021
Gym-μRTS: Toward Affordable Deep Reinforcement Learning...
IEEE Conference on Games 2021 AI for Playing...
CoG 2021
Story Improvisation in Tabletop Roleplaying Games:...
Author: Devi Acharya, Michael Mateas and Noah...
CoG 2021
Multi-Agent Reinforcement Learning in Minecraft: Malmo
Author: Martin Balla, Marko Tot, Sam Devlin....
CoG 2021
Honey, I Shrunk The Actor: A Case Study on Preserving...
IEEE Conference on Games 2021 AI for Playing...