Yonathan Efroni

According to our database, Yonathan Efroni authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Bias of Harmful Label Associations in Vision-Language Models.

Caner Hazirbas, Alicia Sun, Yonathan Efroni, Mark Ibrahim

CoRR, 2024

2023

Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models.

Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Rajiv Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford

Trans. Mach. Learn. Res., 2023

Pearl: A Production-ready Reinforcement Learning Agent.

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

CoRR, 2023

PcLast: Discovering Plannable Continuous Latent States.

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

CoRR, 2023

Prospective Side Information for Latent MDPs.

Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis

CoRR, 2023

Reward-Mixing MDPs with Few Latent Contexts are Learnable.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2023

Principled Offline RL in the Presence of Rich Exogenous Information.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.

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

CoRR, 2022

Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models.

Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford

CoRR, 2022

Tractable Optimality in Episodic Latent MABs.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2022

Sparsity in Partially Controllable Linear Systems.

Yonathan Efroni, Sham M. Kakade, Akshay Krishnamurthy, Cyril Zhang

Proceedings of the International Conference on Machine Learning, 2022

Provable Reinforcement Learning with a Short-Term Memory.

Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi

Proceedings of the International Conference on Machine Learning, 2022

Mirror Descent Policy Optimization.

Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics.

Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford

Proceedings of the Tenth International Conference on Learning Representations, 2022

Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information.

Yonathan Efroni, Dylan J. Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Provable RL with Exogenous Distractors via Multistep Inverse Dynamics.

Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford

CoRR, 2021

Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits.

Nadav Merlis, Yonathan Efroni, Shie Mannor

CoRR, 2021

Bandits with partially observable confounded data.

Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

RL for Latent MDPs: Regret Guarantees and a Lower Bound.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning in Reward-Mixing MDPs.

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Minimax Regret for Stochastic Shortest Path.

Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Confidence-Budget Matching for Sequential Budgeted Learning.

Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor

Proceedings of the 38th International Conference on Machine Learning, 2021

Reinforcement Learning with Trajectory Feedback.

Yonathan Efroni, Nadav Merlis, Shie Mannor

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bandits with Partially Observable Offline Data.

Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni

CoRR, 2020

Exploration-Exploitation in Constrained MDPs.

Yonathan Efroni, Shie Mannor, Matteo Pirotta

CoRR, 2020

Online Planning with Lookahead Policies.

Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-step Greedy Reinforcement Learning Algorithms.

Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh

Proceedings of the 37th International Conference on Machine Learning, 2020

Optimistic Policy Optimization with Bandit Feedback.

Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor

Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs.

Lior Shani, Yonathan Efroni, Shie Mannor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning.

Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh

CoRR, 2019

Multi-Step Greedy and Approximate Real Time Dynamic Programming.

Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor

CoRR, 2019

Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies.

Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Action Robust Reinforcement Learning and Applications in Continuous Control.

Chen Tessler, Yonathan Efroni, Shie Mannor

Proceedings of the 36th International Conference on Machine Learning, 2019

Exploration Conscious Reinforcement Learning Revisited.

Lior Shani, Yonathan Efroni, Shie Mannor

Proceedings of the 36th International Conference on Machine Learning, 2019

How to Combine Tree-Search Methods in Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Revisiting Exploration-Conscious Reinforcement Learning.

Lior Shani, Yonathan Efroni, Shie Mannor

CoRR, 2018

Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

CoRR, 2018

Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Beyond the One-Step Greedy Approach in Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the 35th International Conference on Machine Learning, 2018