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Skip to Search Results- 39Sustainable Forest Management Network
- 5Stewart Weir Stewart Watson & Heinrichs
- 4Bowling, Michael
- 4Müller, Martin
- 3Athabasca Tar Sands Corridor Study Group
- 3D'Eon, Rob
- 128Graduate and Postdoctoral Studies (GPS), Faculty of
- 128Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 39Sustainable Forest Management Network
- 39Sustainable Forest Management Network/Research Notes (Sustainable Forest Management Network)
- 23Computing Science, Department of
- 23Computing Science, Department of/Technical Reports (Computing Science)
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2017-12-01
Jeff Cho, Shelby Carleton, Aidan Herron, Maddy Hebert, Brandon Wieliczko, Kieran Downs
turing is a text adventure-style game created in RenPy using a custom-built text adventure engine. In this game, you play as a new employee of the mysterious Electric Sheep Inc. screening “candidates” through a chat interface to determine whether they are human or AI. Your interface to this...
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[Review of the book Formal Methods in Artificial Intelligence, by Aamsay]
1996
Introduction: Many universities teach artificial intelligence (AI) by having one undergraduate course that introduces students to a very wide variety of topics, usually including search and search heuristics, representational systems (including formal logic), problem solving, vision, expert...
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1991
Pelletier, Francis J., Schubert, Lenhart
Introduction: This very short book is apparently intended as a supplementary text in a graduate AI course. The author describes it as a \"text and reference work on the applications of non-standard logics to artificial intelligence (AI).\" It gives short and concise (too short and too concise, in...
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Spring 2022
The world offers unprecedented amounts of data in real-world domains, from which we can develop successful decision-making systems. It is possible for reinforcement learning (RL) to learn control policies offline from such data but challenging to deploy an agent during learning in safety-critical...
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A Hierarchical Constrained Reinforcement Learning for Optimization of Bitumen Recovery Rate in a Primary Separation Vessel
Download2020-01-01
Shafi, Hareem, Velswamy, Kirubakaran, Ibrahim, Fadi, Huang,Biao
This work proposes a two-level hierarchical constrained control structure for reinforcement learning (RL) with application in a Primary Separation Vessel (PSV). The lower level is concerned with servo tracking and regulation of the interface level against variances in ore quality by manipulating...
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Fall 2015
Brammadesam Manavalan, Yathirajan
Displaying believable emotional reactions in virtual characters is required in applications ranging from virtual-reality trainers to video games. Manual scripting is the most frequently used method and enables an arbitrarily high fidelity of the emotions displayed. However, scripting is labor...
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A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems
Download2017-08-18
Yuan wang, Kirubakaran Velswamy, Biao Huang
Energy optimization in buildings by controlling the Heating Ventilation and Air Conditioning (HVAC) system is being researched extensively. In this paper, a model-free actor-critic Reinforcement Learning (RL) controller is designed using a variant of artificial recurrent neural networks called...
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A practical approach for comparing management strategies in complex forest ecosystems using meta-modelling toolkits
Download2009
Sustainable Forest Management Network
SFM Network Research Note Series No. 56
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1991
Knapik, L., Green, J. E., Wylie, C., Van Egmond, T. D., Paterson, L. R., Jones, I.
This manual - provides information on: • the basics of material extraction and processing, • planning of a pit or quarry operation from start-up to closure, and • selecting the best land use or uses for your reclaimed site, Important considerations in reclamation planning and methods for...
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