10 citations · 13 across the 4 of their papers we have counts for
4 papers
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives
Zohar Feldman, Hanna Ziesche, Ngo Anh Vien +1
Many possible fields of application of robots in real world settings hinge on the ability of robots to grasp objects. As a result, robot grasping has been an active field of resear…
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems
Joel Oren, Chana Ross, Maksym Lefarov +5
We study combinatorial problems with real world applications such as machine scheduling, routing, and assignment. We propose a method that combines Reinforcement Learning (RL) and…
Monte-Carlo Planning: Theoretically Fast Convergence Meets Practical Efficiency
Zohar Feldman, Carmel Domshlak
Popular Monte-Carlo tree search (MCTS) algorithms for online planning, such as epsilon-greedy tree search and UCT, aim at rapidly identifying a reasonably good action, but provide…
Simple Regret Optimization in Online Planning for Markov Decision Processes
Zohar Feldman, Carmel Domshlak
We consider online planning in Markov decision processes (MDPs). In online planning, the agent focuses on its current state only, deliberates about the set of possible policies fro…