52 citations · 101 across the 15 of their papers we have counts for
4 papers · 1 filter
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions
Jonas Tjomsland, Ali Shafti, A. Aldo Faisal
We present a robotic setup for real-world testing and evaluation of human-robot and human-human collaborative learning. Leveraging the sample-efficiency of the Soft Actor-Critic al…
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
Petros Christodoulou, Robert Tjarko Lange, Ali Shafti +1
From a young age humans learn to use grammatical principles to hierarchically combine words into sentences. Action grammars is the parallel idea, that there is an underlying set of…
Human Visual Attention Prediction Boosts Learning & Performance of Autonomous Driving Agents
Alexander Makrigiorgos, Ali Shafti, Alex Harston +2
Autonomous driving is a multi-task problem requiring a deep understanding of the visual environment. End-to-end autonomous systems have attracted increasing interest as a method of…
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation
Benjamin Beyret, Ali Shafti, A. Aldo Faisal
Robotic systems are ever more capable of automation and fulfilment of complex tasks, particularly with reliance on recent advances in intelligent systems, deep learning and artific…