56 citations · 115 across the 4 of their papers we have counts for
4 papers
Visualizing Dynamics: from t-SNE to SEMI-MDPs
Nir Ben Zrihem, Tom Zahavy, Shie Mannor
Deep Reinforcement Learning (DRL) is a trending field of research, showing great promise in many challenging problems such as playing Atari, solving Go and controlling robots. Whil…
Long-term Planning by Short-term Prediction
Shai Shalev-Shwartz, Nir Ben-Zrihem, Aviad Cohen +1
We consider planning problems, that often arise in autonomous driving applications, in which an agent should decide on immediate actions so as to optimize a long term objective. Fo…
Graying the black box: Understanding DQNs
Tom Zahavy, Nir Ben Zrihem, Shie Mannor
In recent years there is a growing interest in using deep representations for reinforcement learning. In this paper, we present a methodology and tools to analyze Deep Q-networks (…
Approximate Nearest Neighbor Fields in Video
Nir Ben-Zrihem, Lihi Zelnik-Manor
We introduce RIANN (Ring Intersection Approximate Nearest Neighbor search), an algorithm for matching patches of a video to a set of reference patches in real-time. For each query,…