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Between stochastic and adversarial: forecasting with online ARMA models
Shie Mannor
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Shie Mannor (Technion)
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2021 Spotlight: RL for Latent MDPs: Regret Guarantees and a Lower Bound »
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2021 : Reinforcement Learning in Reward-Mixing MDPs »
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2021 : Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning »
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2021 : Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning »
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2022 : DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles »
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2022 : Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs »
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2022 : SoftTreeMax: Policy Gradient with Tree Search »
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2023 Poster: Policy Gradient for Rectangular Robust Markov Decision Processes »
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2023 Poster: Individualized Dosing Dynamics via Neural Eigen Decomposition »
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2023 Poster: Train Hard, Fight Easy: Robust Meta Reinforcement Learning »
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2023 Poster: Optimization or Architecture: What Matters in Non-Linear Filtering? »
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2022 : Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs »
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2022 Poster: Tractable Optimality in Episodic Latent MABs »
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2022 Poster: Reinforcement Learning with a Terminator »
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2022 Poster: Finite Sample Analysis Of Dynamic Regression Parameter Learning »
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2022 Poster: Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning »
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2022 Poster: Efficient Risk-Averse Reinforcement Learning »
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2021 : Safe RL Panel Discussion »
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2021 Poster: Twice regularized MDPs and the equivalence between robustness and regularization »
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2021 Poster: RL for Latent MDPs: Regret Guarantees and a Lower Bound »
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2021 Poster: Sim and Real: Better Together »
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2021 Poster: Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction »
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2021 Poster: Reinforcement Learning in Reward-Mixing MDPs »
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2019 : Poster and Coffee Break 2 »
Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall -
2019 : Adaptive Trust Region Policy Optimization: Convergence and Faster Rates of regularized MDPs »
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2019 Workshop: Safety and Robustness in Decision-making »
Mohammad Ghavamzadeh · Shie Mannor · Yisong Yue · Marek Petrik · Yinlam Chow -
2019 Poster: Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies »
Yonathan Efroni · Nadav Merlis · Mohammad Ghavamzadeh · Shie Mannor -
2019 Spotlight: Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies »
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2018 Poster: Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning »
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2018 Spotlight: Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning »
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2017 Poster: Rotting Bandits »
Nir Levine · Yacov Crammer · Shie Mannor -
2017 Poster: Shallow Updates for Deep Reinforcement Learning »
Nir Levine · Tom Zahavy · Daniel J Mankowitz · Aviv Tamar · Shie Mannor -
2016 Poster: Adaptive Skills Adaptive Partitions (ASAP) »
Daniel J Mankowitz · Timothy A Mann · Shie Mannor -
2015 Workshop: Machine Learning for (e-)Commerce »
Esteban Arcaute · Mohammad Ghavamzadeh · Shie Mannor · Georgios Theocharous -
2015 Poster: Online Learning for Adversaries with Memory: Price of Past Mistakes »
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2015 Poster: Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach »
Yinlam Chow · Aviv Tamar · Shie Mannor · Marco Pavone -
2015 Poster: Policy Gradient for Coherent Risk Measures »
Aviv Tamar · Yinlam Chow · Mohammad Ghavamzadeh · Shie Mannor -
2015 Poster: Community Detection via Measure Space Embedding »
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2014 Workshop: From Bad Models to Good Policies (Sequential Decision Making under Uncertainty) »
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor · Jeremie Mary · Laurent Orseau · Thomas Dietterich · Ronald Ortner · Peter Grünwald · Joelle Pineau · Raphael Fonteneau · Georgios Theocharous · Esteban D Arcaute · Christos Dimitrakakis · Nan Jiang · Doina Precup · Pierre-Luc Bacon · Marek Petrik · Aviv Tamar -
2014 Poster: "How hard is my MDP?" The distribution-norm to the rescue »
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2014 Poster: Robust Logistic Regression and Classification »
Jiashi Feng · Huan Xu · Shie Mannor · Shuicheng Yan -
2014 Oral: "How hard is my MDP?" The distribution-norm to the rescue »
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2013 Poster: Reinforcement Learning in Robust Markov Decision Processes »
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2013 Poster: Online PCA for Contaminated Data »
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2013 Poster: Learning Multiple Models via Regularized Weighting »
Daniel Vainsencher · Shie Mannor · Huan Xu -
2012 Poster: The Perturbed Variation »
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2011 Poster: From Bandits to Experts: On the Value of Side-Observations »
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2011 Spotlight: From Bandits to Experts: On the Value of Side-Observations »
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2011 Poster: Committing Bandits »
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2010 Spotlight: Online Classification with Specificity Constraints »
Andrey Bernstein · Shie Mannor · Nahum Shimkin -
2010 Poster: Online Classification with Specificity Constraints »
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2010 Poster: Distributionally Robust Markov Decision Processes »
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