8 citations · 9 across the 2 of their papers we have counts for
3 papers · 1 filter
Towards Recurrent Autoregressive Flow Models
John Mern, Peter Morales, Mykel J. Kochenderfer
Stochastic processes generated by non-stationary distributions are difficult to represent with conventional models such as Gaussian processes. This work presents Recurrent Autoregr…
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning
Sheng Li, Jayesh K. Gupta, Peter Morales +2
Multi-agent reinforcement learning (MARL) requires coordination to efficiently solve certain tasks. Fully centralized control is often infeasible in such domains due to the size of…
Selective Network Discovery via Deep Reinforcement Learning on Embedded Spaces
Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad
Complex networks are often either too large for full exploration, partially accessible, or partially observed. Downstream learning tasks on these incomplete networks can produce lo…