Sheepdogs smartly herd a flock of sheep and guide them towards a goal. A single dog can
herd a few hundred sheep in easy to navigate environments. Understanding the interaction …

The design of reward functions in reinforcement learning is a human skill that comes with
experience. Unfortunately, there is not any methodology in the literature that could guide a …

In the shepherding problem, an external agent (the shepherd) attempts to influence the
behavior of a swarm of agents (the sheep) by steering them towards a goal that is known to …

Gamer engagement with computer opponents is an important aspect of computer games.
Players will be bored if computer opponents are predictable, and the game will be …

Shepherding is the problem of guiding a group of passive sheep agents (a flock) from some
start position to a goal region by influencing the sheep motion with active guiding agents …

Behavioural diversity has been shown to be beneficial in biological social systems, such as
insect colonies and human societies, as well as artificial systems such as large-scale swarm …

Human and Autonomous control of a swarm of robots is a non-trivial task compounded by
the multi-agent nature of a swarm and the tight-coupling in swarm dynamics. Our previous …

One of the most widely implemented models for multi-alternative decision-making is the
Multihypothesis Sequential Probability Ratio Test (MSPRT); this model has found …