31 citations · 54 across the 8 of their papers we have counts for
8 papers
Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations
Konur Tholl, François Rivest, Mariam El Mezouar +2
Autonomous Cyber Operations (ACO) are increasingly important for defending enterprise networks as cyber threats continue to evolve in sophistication. ACO applications commonly empl…
Monte Carlo Tree Search Satellite Scheduling Under Cloud Cover Uncertainty
Justin Norman, Francois Rivest
Efficient utilization of satellite resources in dynamic environments remains a challenging problem in satellite scheduling. This paper addresses the multi-satellite collection sche…
ChronosPerseus: Randomized Point-based Value Iteration with Importance Sampling for POSMDPs
Richard Kohar, François Rivest, Alain Gosselin
In reinforcement learning, agents have successfully used environments modeled with Markov decision processes (MDPs). However, in many problem domains, an agent may suffer from nois…
Towards Personalization of User Preferences in Partially Observable Smart Home Environments
Shashi Suman, Francois Rivest, Ali Etemad
The technologies used in smart homes have recently improved to learn the user preferences from feedback in order to enhance the user convenience and quality of experience. Most sma…
Latent Time-Adaptive Drift-Diffusion Model
Gabriele Cimolino, Francois Rivest
Animals can quickly learn the timing of events with fixed intervals and their rate of acquisition does not depend on the length of the interval. In contrast, recurrent neural netwo…
Interval Timing: Modeling the break-run-break pattern using start/stop threshold-less drift-diffusion model
Jason Zwicker, Francois Rivest
Animal interval timing is often studied through the peak interval (PI) procedure. In this procedure, the animal is rewarded for the first response after a fixed delay from the stim…