Shie Mannor | Research

Shie Mannor

Publications

2023

Learning to Initiate and Reason in Event-Driven Cascading Processes

Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik

Train Hard, Fight Easy: Robust Meta Reinforcement Learning

Ido Greenberg, Shie Mannor, Gal Chechik, Eli Meirom

CALM: Conditional Adversarial Latent Models for Directable Virtual Characters

Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavy, Gal Dalal

Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning

Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler

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

Optimizing tensor network contraction using reinforcement learning

Eli Meirom, Haggai Maron, Shie Mannor, Gal Chechik

International Conference on Machine Learning, PMLR 162:15278-15292, 2022

Reinforcement Learning for Datacenter Congestion Control

Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor

IAAI 2022

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)

Known unknowns: Learning novel concepts using exploratory reasoning-by-elimination

Harsh Agrawal, Eli Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Inte…

Oral

Controlling graph dynamics with reinforcement learning and graph neural networks

Eli Meirom, Haggai Maron, Shie Mannor, Gal Chechik

Planning and Learning with Adaptive Lookahead

Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal

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)