Yonathan Efroni

发表

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

Shie Mannor, Mohammad Ghavamzadeh, Yonathan Efroni, 2019, NeurIPS.

Action Robust Reinforcement Learning and Applications in Continuous Control

Shie Mannor, Yonathan Efroni, Chen Tessler, 2019, ICML.

Multi-Step Greedy and Approximate Real Time Dynamic Programming pdf

Shie Mannor, Mohammad Ghavamzadeh, Yonathan Efroni, 2019, ArXiv.

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

Shie Mannor, Yonathan Efroni, Lior Shani, 2019, AAAI.

Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information

Dylan J. Foster, Dipendra Kumar Misra, J. Langford, 2022, COLT.

Sparsity in Partially Controllable Linear Systems

S. Kakade, A. Krishnamurthy, Cyril Zhang, 2021, ArXiv.

MULTISTEP INVERSE DYNAMICS

Dipendra Kumar Misra, J. Langford, A. Krishnamurthy, 2022 .

Tractable Optimality in Episodic Latent MABs

Shie Mannor, C. Caramanis, Yonathan Efroni, 2022, NeurIPS.

Query-Reward Tradeoffs in Multi-Armed Bandits

Shie Mannor, Yonathan Efroni, Nadav Merlis, 2021, 2110.05724.

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

Dipendra Kumar Misra, J. Langford, Riashat Islam, 2022, ArXiv.

Reward-Mixing MDPs with a Few Latent Contexts are Learnable

Shie Mannor, C. Caramanis, Yonathan Efroni, 2022, ArXiv.

Online Planning with Lookahead Policies

Shie Mannor, M. Ghavamzadeh, Yonathan Efroni, 2020, NeurIPS.

Exploration-Exploitation in Constrained MDPs pdf

Shie Mannor, Matteo Pirotta, Yonathan Efroni, 2020, ArXiv.

Topological Transitions and Fractional Charges Induced by Strain and a Magnetic Field in Carbon Nanotubes.

Yonathan Efroni, E. Berg, S. Ilani, 2016, Physical review letters.

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

Shie Mannor, Constantine Caramanis, Jeongyeol Kwon, 2021, NeurIPS.

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

Dylan J. Foster, Dipendra Kumar Misra, J. Langford, 2022, Trans. Mach. Learn. Res..

Mirror Descent Policy Optimization

M. Ghavamzadeh, Yonathan Efroni, Manan Tomar, 2020, ICLR.

Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning

Shie Mannor, Bruno Scherrer, Yonathan Efroni, 2018, NeurIPS.

Provable Reinforcement Learning with a Short-Term Memory

Chi Jin, A. Krishnamurthy, Yonathan Efroni, 2022, ICML.

Multi-step Greedy Reinforcement Learning Algorithms

M. Ghavamzadeh, Yonathan Efroni, Manan Tomar, 2019, ICML.

Reinforcement Learning with Trajectory Feedback

Shie Mannor, Yonathan Efroni, Nadav Merlis, 2020, AAAI.

Reinforcement Learning in Reward-Mixing MDPs

Shie Mannor, C. Caramanis, Yonathan Efroni, 2021, NeurIPS.

Minimax Regret for Stochastic Shortest Path pdf

Yishay Mansour, Alon Cohen, Yonathan Efroni, 2021, NeurIPS.

Optimistic Policy Optimization with Bandit Feedback pdf

Shie Mannor, Lior Shani, Yonathan Efroni, 2020, ICML.

Bandits with partially observable confounded data

Shie Mannor, Uri Shalit, Guy Tennenholtz, 2020, UAI.

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

Shie Mannor, Bruno Scherrer, Yonathan Efroni, 2018, NIPS 2018.

Beyond the One Step Greedy Approach in Reinforcement Learning

Shie Mannor, Bruno Scherrer, Yonathan Efroni, 2018, ICML.

How to Combine Tree-Search Methods in Reinforcement Learning

Shie Mannor, Bruno Scherrer, Yonathan Efroni, 2018, AAAI.

Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics

Dipendra Kumar Misra, J. Langford, A. Krishnamurthy, 2022, International Conference on Learning Representations.

Principled Offline RL in the Presence of Rich Exogenous Information

Dipendra Kumar Misra, J. Langford, Riashat Islam, 2022, ICML.

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

Dipendra Kumar Misra, J. Langford, Riashat Islam, 2022, ArXiv.

Exploration Conscious Reinforcement Learning Revisited

Shie Mannor, Lior Shani, Yonathan Efroni, 2018, ICML.

Revisiting Exploration-Conscious Reinforcement Learning pdf

Shie Mannor, Lior Shani, Yonathan Efroni, 2018, ArXiv.

Prospective Side Information for Latent MDPs

C. Caramanis, Shie Mannor, Yonathan Efroni, 2023, ArXiv.

Bandits with Partially Observable Offline Data pdf

Shie Mannor, Uri Shalit, Guy Tennenholtz, 2020, ArXiv.

Reward-Mixing MDPs with Few Latent Contexts are Learnable

Shie Mannor, C. Caramanis, Yonathan Efroni, 2023, ICML.

Pearl: A Production-ready Reinforcement Learning Agent

Yonathan Efroni, Jalaj Bhandari, D. Korenkevych, 2023, 2312.03814.

Confidence-Budget Matching for Sequential Budgeted Learning

Shie Mannor, Aadirupa Saha, Yonathan Efroni, 2021, ICML.

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

Shie Mannor, Yonathan Efroni, Nadav Merlis, 2021, ArXiv.

PcLast: Discovering Plannable Continuous Latent States

Riashat Islam, Yonathan Efroni, Rajan Chari, 2023, ArXiv.

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

Dylan J. Foster, Dipendra Kumar Misra, J. Langford, 2022, arXiv.org.

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation

C. Caramanis, Shie Mannor, Yonathan Efroni, 2024, 2406.01389.

Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs

Riashat Islam, Yonathan Efroni, Raihan Seraj, 2024, 2404.14552.

Agent-Centric State Discovery for Finite-Memory POMDPs

Riashat Islam, Yonathan Efroni, Raihan Seraj, 2022 .