53 citations · 230 across the 34 of their papers we have counts for
4 papers · 1 filter
Improving interactive reinforcement learning: What makes a good teacher?
Francisco Cruz, Sven Magg, Yukie Nagai +1
Interactive reinforcement learning has become an important apprenticeship approach to speed up convergence in classic reinforcement learning problems. In this regard, a variant of…
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
Di Fu, Pablo Barros, German I. Parisi +4
The efficient integration of multisensory observations is a key property of the brain that yields the robust interaction with the environment. However, artificial multisensory perc…
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
Francisco Cruz, German I. Parisi, Stefan Wermter
Interactive reinforcement learning (IRL) extends traditional reinforcement learning (RL) by allowing an agent to interact with parent-like trainers during a task. In this paper, we…
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
German I. Parisi, Jun Tani, Cornelius Weber +1
Artificial autonomous agents and robots interacting in complex environments are required to continually acquire and fine-tune knowledge over sustained periods of time. The ability…