153 citations · 292 across the 10 of their papers we have counts for
3 papers · 1 filter
Neural Bayesian Filtering
Christopher Solinas, Radovan Haluska, David Sychrovsky +6
Sequential estimation under partial observability requires tracking beliefs that may be high-dimensional, multimodal, and non-Gaussian. Classical Bayesian filters generalize zero-s…
Approximate exploitability: Learning a best response in large games
Finbarr Timbers, Nolan Bard, Edward Lockhart +6
Researchers have demonstrated that neural networks are vulnerable to adversarial examples and subtle environment changes, both of which one can view as a form of distribution shift…
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau +24
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. OpenSpiel supports n-player (single- and multi…