1 code implementation • 27 Jun 2021 • Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok
Solving partially-observable Markov decision processes (POMDPs) is critical when applying reinforcement learning to real-world problems, where agents have an incomplete view of the world.
no code implementations • 11 Sep 2020 • Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel, Stephan Liwicki, Roberto Cipolla
We present NavACL, a method of automatic curriculum learning tailored to the navigation task.
no code implementations • 27 Aug 2019 • Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard
We took a custom camera rig to Igloo Cave at Mt.