5 citations · 5 across the 2 of their papers we have counts for
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cs.AI2016
Information Theoretically Aided Reinforcement Learning for Embodied Agents
Guido Montufar, Keyan Ghazi-Zahedi, Nihat Ay
Reinforcement learning for embodied agents is a challenging problem. The accumulated reward to be optimized is often a very rugged function, and gradient methods are impaired by ma…
cs.AI2015
Quantifying Morphological Computation based on an Information Decomposition of the Sensorimotor Loop
Keyan Ghazi-Zahedi, Johannes Rauh
The question how an agent is affected by its embodiment has attracted growing attention in recent years. A new field of artificial intelligence has emerged, which is based on the i…