In real world applications, agents - be they software agents or autonomous robots - inevitably face erroneous situations that have not been planned for. Re-planning can sometimes ...
Robert J. Ross, Rem W. Collier, Gregory M. P. O'Ha...
As autonomous agents proliferate in the real world, both in software and robotic settings, they will increasingly need to band together for cooperative activities with previously ...
Peter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey ...
— We suggest that people’s responses to a robot of which attention starts to be distracted show whether they accept the robot as an intentional communication partner or not. Hu...
Conventionally, mobile robots are controlled through an action selection mechanism (ASM) that chooses among multiple proposed actions. This choice can be made in a variety of ways...
Brian P. Gerkey, Maja J. Mataric, Gaurav S. Sukhat...
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...