Yonathan Efroni

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2018–2026

Best venue rank

Where they publish

Papers

24 indexed papers, newest first.

Year	Venue	Title	Authors
2026	EACL	Imbalanced Gradients in RL Post-Training of Multi-Task LLMs.	Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2025	ICLR	Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do.	Yoav Wald, Mark Goldstein, Yonathan Efroni, Wouter A. C. van Amsterdam, Rajesh Ranganath
2025	ICLR	Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank.	Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel Jiang, Yonathan Efroni
2025	ICML	Aligned Multi Objective Optimization.	Yonathan Efroni, Ben Kretzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich
2024	ICML	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, Miroslav Dudk, John Langford, Alex Lamb
2024	ICML	Prospective Side Information for Latent MDPs.	Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis
2023	ICML	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
2023	ICML	Reward-Mixing MDPs with Few Latent Contexts are Learnable.	Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2022	COLT	Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information.	Yonathan Efroni, Dylan J. Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford
2022	ICLR	Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics.	Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford
2022	ICLR	Mirror Descent Policy Optimization.	Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
2022	ICML	Provable Reinforcement Learning with a Short-Term Memory.	Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi
2022	ICML	Sparsity in Partially Controllable Linear Systems.	Yonathan Efroni, Sham M. Kakade, Akshay Krishnamurthy, Cyril Zhang
2022	ICML	Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms.	Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
2021	AAAI	Reinforcement Learning with Trajectory Feedback.	Yonathan Efroni, Nadav Merlis, Shie Mannor
2021	ICML	Confidence-Budget Matching for Sequential Budgeted Learning.	Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
2021	UAI	Bandits with partially observable confounded data.	Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni
2020	AAAI	Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs.	Lior Shani, Yonathan Efroni, Shie Mannor
2020	ICML	Optimistic Policy Optimization with Bandit Feedback.	Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor
2020	ICML	Multi-step Greedy Reinforcement Learning Algorithms.	Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
2019	AAAI	How to Combine Tree-Search Methods in Reinforcement Learning.	Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2019	ICML	Exploration Conscious Reinforcement Learning Revisited.	Lior Shani, Yonathan Efroni, Shie Mannor
2019	ICML	Action Robust Reinforcement Learning and Applications in Continuous Control.	Chen Tessler, Yonathan Efroni, Shie Mannor
2018	ICML	Beyond the One-Step Greedy Approach in Reinforcement Learning.	Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor