61 citations · 225 across the 16 of their papers we have counts for
18 papers
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…
Supportive Actions for Manipulation in Human-Robot Coworker Teams
Shray Bansal, Rhys Newbury, Wesley Chan +5
The increasing presence of robots alongside humans, such as in human-robot teams in manufacturing, gives rise to research questions about the kind of behaviors people prefer in the…
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Yannick Schroecker, Charles Isbell
This work considers two distinct settings: imitation learning and goal-conditioned reinforcement learning. In either case, effective solutions require the agent to reliably reach a…
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Ashley D. Edwards, Himanshu Sahni, Rosanne Liu +7
In this paper, we introduce a novel form of value function, , that expresses the utility of transitioning from a state to a neighboring state and then acting opt…
Perceptual Values from Observation
Ashley D. Edwards, Charles L. Isbell
Imitation by observation is an approach for learning from expert demonstrations that lack action information, such as videos. Recent approaches to this problem can be placed into t…