13 citations · 49 across the 33 of their papers we have counts for
5 papers · 1 filter
Goal Recognition using Actor-Critic Optimization
Ben Nageris, Felipe Meneguzzi, Reuth Mirsky
Goal Recognition aims to infer an agent's goal from a sequence of observations. Existing approaches often rely on manually engineered domains and discrete representations. Deep Rec…
To What Extent Does the Perceived Obesity Level of Humanoid Robots Affect People's Trust in Them?
Yoav Yoscovich, Amir Schreiber, Nir Hadar +1
Despite obesity being widely discussed in the social sciences, the effect of a robot's perceived obesity level on trust is not covered by the field of HRI. While in research regard…
Shared Control with Black Box Agents using Oracle Queries
Inbal Avraham, Reuth Mirsky
Shared control problems involve a robot learning to collaborate with a human. When learning a shared control policy, short communication between the agents can often significantly…
ODGR: Online Dynamic Goal Recognition
Matan Shamir, Osher Elhadad, Matthew E. Taylor +1
Traditionally, Reinforcement Learning (RL) problems are aimed at optimization of the behavior of an agent. This paper proposes a novel take on RL, which is used to learn the policy…
Emergent Dominance Hierarchies in Reinforcement Learning Agents
Ram Rachum, Yonatan Nakar, Bill Tomlinson +2
Modern Reinforcement Learning (RL) algorithms are able to outperform humans in a wide variety of tasks. Multi-agent reinforcement learning (MARL) settings present additional challe…