The lab has piled up three publications this month:

• Our work on modelling and predicting Spatially Spreading Processes, in this case Forest Wildfires, using raw image data. Both these papers highlight different components of our approach of using Reinforcement Learning to automatically learn agent-based models of fire spreading on a landscape from readily avaialble satellite and weather data. the first paper builds on out work from RLDM last year. We will be presenting this work at this year's Canadian AI Conference in Toronto, May 8-11, 2018.:
  • Subramanian, S.G. & Crowley, M., 2018. Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models from Satellite Images. Frontiers in ICT: Environmental Informatics. 
  • Subramanian, S.G. & Crowley, M., 2018. Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings. In Canadian Conference on Artificial Intelligence. Toronto, Ontario, Canada: (to appear).
• This paper was a collaborative work from three of my students growing out of a course project to build a very impressive multi-layer system for Decision Assistance for self-driving cars. Decision assistance is more subtle than autonomous driving, so take a look at the paper to find out the difference and the new approach we found that worked well.
  • Subramanian, S.G., Singh, J., Ghojogh, B., Crowley, M., 2018. Decision Assist For Self-Driving Cars. In Canadian Conference on Artificial Intelligence. Toronto, Ontario, Canada: (to appear).