Javier Almingol

Learning multiple behaviours using hierarchical clustering of rewards

Learning models of behaviours has many applications in robotics spanning both control, e.g. learning from demonstration and perception, e.g. monitoring and surveillance. Inverse reinforcement learning encodes behaviours as a reward function learned from a set of demonstrations. This paper addresses…