20 citations · 45 across the 9 of their papers we have counts for
5 papers · 1 filter
Hard Attention Control By Mutual Information Maximization
Himanshu Sahni, Charles Isbell
Biological agents have adopted the principle of attention to limit the rate of incoming information from the environment. One question that arises is if an artificial agent has acc…
A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play
Shray Bansal, Jin Xu, Ayanna Howard +1
We consider shared workspace scenarios with humans and robots acting to achieve independent goals, termed as parallel play. We model these as general-sum games and construct a fram…
Learning to Compose Skills
Himanshu Sahni, Saurabh Kumar, Farhan Tejani +1
We present a differentiable framework capable of learning a wide variety of compositions of simple policies that we call skills. By recursively composing skills with themselves, we…
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning
Himanshu Sahni, Saurabh Kumar, Farhan Tejani +2
Typical reinforcement learning (RL) agents learn to complete tasks specified by reward functions tailored to their domain. As such, the policies they learn do not generalize even t…
Unsupervised Activity Discovery and Characterization From Event-Streams
Rafay Hammid, Siddhartha Maddi, Amos Johnson +3
We present a framework to discover and characterize different classes of everyday activities from event-streams. We begin by representing activities as bags of event n-grams. This…