CoG 2021

Representational Sensitivity for Divide the Dollar Playing Agents

43 views
2021, ashlock, cog, cog2021, dollar, dong, representational, sensitivity
Author: Daniel Ashlock and Andrew Dong.
Title: Representational Sensitivity for Divide the Dollar Playing Agents.
Game Theory Track - Long Paper (20 min) - IEEE Conference on Games 2021

RELATED VIDEOS

17:44
CoG 2021

Gym-μRTS: Toward Affordable Deep Reinforcement Learning...

901 views October 31, 2021

IEEE Conference on Games 2021 AI for Playing...

19:47
CoG 2021

Story Improvisation in Tabletop Roleplaying Games:...

809 views October 25, 2021

Author: Devi Acharya, Michael Mateas and Noah...

56:00
CoG 2021

Multi-Agent Reinforcement Learning in Minecraft: Malmo

620 views December 08, 2021

Author: Martin Balla, Marko Tot, Sam Devlin....

16:10
CoG 2021

Honey, I Shrunk The Actor: A Case Study on Preserving...

601 views October 31, 2021

IEEE Conference on Games 2021 AI for Playing...