2 papers
cs.LG2020
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius, Scott Cameron, Elan van Biljon +6
Multi-agent reinforcement learning has recently shown great promise as an approach to networked system control. Arguably, one of the most difficult and important tasks for which la…
cs.LG2020
Learning Options from Demonstration using Skill Segmentation
Matthew Cockcroft, Shahil Mawjee, Steven James +1
We present a method for learning options from segmented demonstration trajectories. The trajectories are first segmented into skills using nonparametric Bayesian clustering and a r…