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Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Publications
AI Playground
New and Featured
AI Art Gallery
Team
News
People
Collaborations
Academic
AI Research Residency
Government
Graduate Fellowships
Research Labs
3D DL
Applied Research
Autonomous Vehicles
Deep Imagination
Learning & Perception
Perception, Action, & Reseasoning DL
Robotics
Careers
Internships
Research Scientists
Licensing
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People
Shie Mannor
Main Field of Interest
Artificial Intelligence and Machine Learning
Publications
2023
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
Chen Tessler
,
Yoni Kasten
, Yunrong Guo,
Shie Mannor
,
Gal Chechik
, Xue Bin Peng
SIGGRAPH 2023
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
Benjamin Fuhrer, Yuval Shpigelman,
Chen Tessler
,
Shie Mannor
,
Gal Chechik
, Eitan Zahavy,
Gal Dalal
CCGrid 2023
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
Pranav Khanna, Guy Tennenholtz, Nadav Merlis,
Shie Mannor
,
Chen Tessler
AAMAS 2023
2022
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus
,
Boris Ivanovic
,
Shie Mannor
,
Marco Pavone
Conference on Robot Learning (CoRL) 2022
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tenneholtz,
Assaf Hallak
,
Gal Dalal
,
Shie Mannor
,
Gal Chechik
ICLR
Reinforcement Learning for Datacenter Congestion Control
Chen Tessler
, Yuval Shpigelman,
Gal Dalal
, Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer,
Gal Chechik
,
Shie Mannor
IAAI 2022
Learning to reason about and to act on physical cascading events
Gal Chechik
,
Yuval Atzmon
,
Eli Meirom
,
Shie Mannor
Arxiv
2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Gal Dalal
,
Assaf Hallak
,
Steven Dalton
,
Iuri Frosio
,
Shie Mannor
,
Gal Chechik
Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
Planning and Learning with Adaptive Lookahead
Aviv Rosenberg,
Assaf Hallak
,
Shie Mannor
,
Gal Chechik
,
Gal Dalal
Arxiv
Acting in Delayed Environments with Non-Stationary Markov Policies
Esther Derman,
Gal Dalal
,
Shie Mannor
ICLR 2021
2020
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems
Ahmet Inci,
Evgeny Bolotin
,
Yaosheng Fu
,
Gal Dalal
,
Shie Mannor
,
David Nellans
, Diana Marculescu
Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2)