Search
Skip to Search Results- 1Ahmad, Zaheen F
- 1Ahmed, Nimrah.
- 1Bawden, Jennifer
- 1Burch, Neil
- 1Cholodovskis Machado, Marlos
- 1Daliri,Mohammadreza
- 16Graduate and Postdoctoral Studies (GPS), Faculty of
- 16Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 2Education, Faculty of
- 2Education, Faculty of/ENGAGE: Celebration of Research and Teaching Excellence
- 2Toolkit for Grant Success
- 1Toolkit for Grant Success/Successful Grants (Toolkit for Grant Success)
-
2017-10-13
SSHRC Awarded IG 2018: This Aboriginal and community-based, participatory research project aims to co-create knowledge about the holistic (emotional, mental, physical, and spiritual) benefits to Indigenous youth of participating in northern games, and to identify factors that might be modified to...
-
Action Selection for Hammer Shots in Curling: Optimization of Non-convex Continuous Actions With Stochastic Action Outcomes
DownloadSpring 2017
Optimal decision making in the face of uncertainty is an active area of research in artificial intelligence. In this thesis, I present the sport of curling as a novel application domain for research in optimal decision making. I focus on one aspect of the sport, the hammer shot, the last shot...
-
2024-03-28
Jin, Qingna., McFeetors, Janelle., Ahmed, Nimrah.
Poster presented at the 2024 Faculty of Education Celebrating Socially Transformative Research and Teaching Event
-
Spring 2015
Believable, realistic video game character behaviour continues to lag behind the improvements in graphics, stories and game play in video games. In this dissertation we focus on the use of two techniques, emotional gaits and emotional incidents, as a way to add easily identifiable, non-verbal,...
-
Spring 2011
With the rise of services like Steam and Xbox Live, multiplayer support has become essential to the success of many commercial video games. Explicit, server-client synchronisation models are bandwidth intensive and error prone to implement, while implicit, peer-to-peer synchronisation models are...
-
Spring 2019
In the reinforcement learning (RL) problem an agent must learn how to act optimally through trial-and-error interactions with a complex, unknown, stochastic environment. The actions taken by the agent influence not just the immediate reward it observes but also the future states and rewards it...
-
Fall 2022
OpenSpiel is an open-source software system for implementing high-performance software players for many different computer games. Hex is a two-player game of perfect information used in a variety of computer games research projects. The OpenSpiel project has implemented a version of the AlphaZero...
-
Fall 2013
This thesis presents new algorithms for dealing with large scale reinforcement learning problems. Central to this work is the Atari 2600 platform, which acts as both a rich evaluation framework and a source of challenges for existing reinforcement learning methods. Three contributions are...