Yonathan Efroni

Imbalanced Gradients in RL Post-Training of Multi-Task LLMs EACL 2026 Aligned Multi Objective Optimization ICML 2025 Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank ICLR 2025 Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do ICLR 2025 PcLast: Discovering Plannable Continuous Latent States ICML 2024 Pearl: A Production-Ready Reinforcement Learning Agent JMLR 2024 Prospective Side Information for Latent MDPs ICML 2024 RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NeurIPS 2024 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023 Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms ICML 2022 Mirror Descent Policy Optimization ICLR 2022 Provable Reinforcement Learning with a Short-Term Memory ICML 2022 Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics ICLR 2022 Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information COLT 2022 Sparsity in Partially Controllable Linear Systems ICML 2022 Tractable Optimality in Episodic Latent MABs NeurIPS 2022 Bandits with partially observable confounded data UAI 2021 Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021 Minimax Regret for Stochastic Shortest Path NeurIPS 2021 Reinforcement Learning in Reward-Mixing MDPs NeurIPS 2021 Reinforcement Learning with Trajectory Feedback AAAI 2021 RL for Latent MDPs: Regret Guarantees and a Lower Bound NeurIPS 2021 Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020 Multi-step Greedy Reinforcement Learning Algorithms ICML 2020 Online Planning with Lookahead Policies NeurIPS 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019 Exploration Conscious Reinforcement Learning Revisited ICML 2019 How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019 Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies NeurIPS 2019 Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018