42 citations · 58 across the 3 of their papers we have counts for
6 papers
imitation: Clean Imitation Learning Implementations
Adam Gleave, Mohammad Taufeeque, Juan Rocamonde +7
imitation provides open-source implementations of imitation and reward learning algorithms in PyTorch. We include three inverse reinforcement learning (IRL) algorithms, three imita…
An Empirical Investigation of Representation Learning for Imitation
Xin Chen, Sam Toyer, Cody Wild +9
Imitation learning often needs a large demonstration set in order to handle the full range of situations that an agent might find itself in during deployment. However, collecting e…
Sparse Graphical Memory for Robust Planning
Scott Emmons, Ajay Jain, Michael Laskin +3
To operate effectively in the real world, agents should be able to act from high-dimensional raw sensory input such as images and achieve diverse goals across long time-horizons. C…
Concurrency and reachability in tree-like temporal networks
Eun Lee, Scott Emmons, Ryan Gibson +2
Network properties govern the rate and extent of various spreading processes, from simple contagions to complex cascades. Recently, the analysis of spreading processes has been ext…
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection
Scott Emmons, Peter J. Mucha
Much of the community detection literature studies structural communities, communities defined solely by the connectivity patterns of the network. Often, networks contain additiona…
Post-processing partitions to identify domains of modularity optimization
William H. Weir, Scott Emmons, Ryan Gibson +2
We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm to prune and prioritize different network community structures identified across multiple runs of…