Yonathan Efroni

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 60

Top Topics

Reinforcement Learning

Policy Evaluation

Partially Observable

Real Time Dynamic Programming

Top Venues

Publications

Lili Wu, Ben Evans, Riashat Islam, Raihan Seraj, Yonathan Efroni, Alex Lamb
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs. CoRR (2024)
Caner Hazirbas, Alicia Sun, Yonathan Efroni, Mark Ibrahim
The Bias of Harmful Label Associations in Vision-Language Models. CoRR (2024)
Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation. CoRR (2024)
Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis
Prospective Side Information for Latent MDPs. CoRR (2023)
Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miro Dudík, John Langford, Alex Lamb
PcLast: Discovering Plannable Continuous Latent States. CoRR (2023)
Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Rajiv Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models. Trans. Mach. Learn. Res. 2023 (2023)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reward-Mixing MDPs with Few Latent Contexts are Learnable. ICML (2023)
Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
Principled Offline RL in the Presence of Rich Exogenous Information. ICML (2023)
Zheqing Zhu, Rodrigo de Salvo Braz, Jalaj Bhandari, Daniel Jiang, Yi Wan, Yonathan Efroni, Liyuan Wang, Ruiyang Xu, Hongbo Guo, Alex Nikulkov, Dmytro Korenkevych, Ürün Dogan, Frank Cheng, Zheng Wu, Wanqiao Xu
Pearl: A Production-ready Reinforcement Learning Agent. CoRR (2023)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Tractable Optimality in Episodic Latent MABs. CoRR (2022)
Yonathan Efroni, Dylan J. Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information. CoRR (2022)
Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan J. Foster, Lekan Molu, Rajan Chari, Akshay Krishnamurthy, John Langford
Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models. CoRR (2022)
Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
Mirror Descent Policy Optimization. ICLR (2022)
Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. ICML (2022)
Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi
Provable Reinforcement Learning with a Short-Term Memory. CoRR (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. CoRR (2022)
Yonathan Efroni, Sham M. Kakade, Akshay Krishnamurthy, Cyril Zhang
Sparsity in Partially Controllable Linear Systems. ICML (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Tractable Optimality in Episodic Latent MABs. NeurIPS (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reward-Mixing MDPs with a Few Latent Contexts are Learnable. CoRR (2022)
Yonathan Efroni, Dylan J. Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information. COLT (2022)
Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi
Provable Reinforcement Learning with a Short-Term Memory. ICML (2022)
Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics. ICLR (2022)
Nadav Merlis, Yonathan Efroni, Shie Mannor
Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits. CoRR (2021)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reinforcement Learning in Reward-Mixing MDPs. NeurIPS (2021)
Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
Confidence-Budget Matching for Sequential Budgeted Learning. ICML (2021)
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Minimax Regret for Stochastic Shortest Path. NeurIPS (2021)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
RL for Latent MDPs: Regret Guarantees and a Lower Bound. NeurIPS (2021)
Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford
Provable RL with Exogenous Distractors via Multistep Inverse Dynamics. CoRR (2021)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reinforcement Learning in Reward-Mixing MDPs. CoRR (2021)
Yonathan Efroni, Nadav Merlis, Shie Mannor
Reinforcement Learning with Trajectory Feedback. AAAI (2021)
Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Minimax Regret for Stochastic Shortest Path. CoRR (2021)
Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
Confidence-Budget Matching for Sequential Budgeted Learning. CoRR (2021)
Yonathan Efroni, Sham M. Kakade, Akshay Krishnamurthy, Cyril Zhang
Sparsity in Partially Controllable Linear Systems. CoRR (2021)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
RL for Latent MDPs: Regret Guarantees and a Lower Bound. CoRR (2021)
Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni
Bandits with partially observable confounded data. UAI (2021)
Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor
Online Planning with Lookahead Policies. NeurIPS (2020)
Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
Mirror Descent Policy Optimization. CoRR (2020)
Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor
Optimistic Policy Optimization with Bandit Feedback. CoRR (2020)
Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
Multi-step Greedy Reinforcement Learning Algorithms. ICML (2020)
Yonathan Efroni, Nadav Merlis, Shie Mannor
Reinforcement Learning with Trajectory Feedback. CoRR (2020)
Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni
Bandits with Partially Observable Offline Data. CoRR (2020)
Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor
Optimistic Policy Optimization with Bandit Feedback. ICML (2020)
Yonathan Efroni, Shie Mannor, Matteo Pirotta
Exploration-Exploitation in Constrained MDPs. CoRR (2020)
Lior Shani, Yonathan Efroni, Shie Mannor
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. AAAI (2020)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
How to Combine Tree-Search Methods in Reinforcement Learning. AAAI (2019)
Lior Shani, Yonathan Efroni, Shie Mannor
Exploration Conscious Reinforcement Learning Revisited. ICML (2019)
Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. CoRR (2019)
Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning. CoRR (2019)
Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor
Multi-Step Greedy and Approximate Real Time Dynamic Programming. CoRR (2019)
Lior Shani, Yonathan Efroni, Shie Mannor
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. CoRR (2019)
Chen Tessler, Yonathan Efroni, Shie Mannor
Action Robust Reinforcement Learning and Applications in Continuous Control. CoRR (2019)
Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. NeurIPS (2019)
Chen Tessler, Yonathan Efroni, Shie Mannor
Action Robust Reinforcement Learning and Applications in Continuous Control. ICML (2019)
Lior Shani, Yonathan Efroni, Shie Mannor
Revisiting Exploration-Conscious Reinforcement Learning. CoRR (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Beyond the One-Step Greedy Approach in Reinforcement Learning. ICML (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
How to Combine Tree-Search Methods in Reinforcement Learning. CoRR (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Beyond the One Step Greedy Approach in Reinforcement Learning. CoRR (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. NeurIPS (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. CoRR (2018)