Relational representations have great potential for rapidly generalizing learned knowledge
in large Markov decision processes such as multi-agent problems. In this work, we introduce …

A major challenge in the area of multiagent reinforcement learning has been addressing the
problem of scale, more specifically the fact that increasing the number of agents in a system …

Robot path planning is an important research area of robotics. It refers to the use of some
optimization criterion by the mobile robot to search for an optimal, safe and obstacle free …

A major challenge in the area of multiagent reinforcement learning is addressing the issue of
scale as systems get more and more complex. Systems with multiple agents attempting to …

An autonomous agent is one that is able to make sense of its environment and take logical
actions to complete a task without human intervention. For example, a robotic vacuum …