Josiah P. Hanna

Venues

Frequent coauthors

Papers

1. Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
   ICML 2025 ·

   Hongyi Zhou

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2. Multi-Robot Collaboration Through Reinforcement Learning and Abstract Simulation
   ICRA 2025 ·

   Adam Labiosa

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3. Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer
   ICRA 2025 ·

   Adam Labiosa

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4. Stable Offline Value Function Learning with Bisimulation-based Representations
   ICML 2025 ·

   Brahma S. Pavse

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5. When Can Model-Free Reinforcement Learning be Enough for Thinking?
   NeurIPS 2025 · Josiah Hanna
6. Adaptive Exploration for Data-Efficient General Value Function Evaluations
   NeurIPS 2024 ·

   Arushi Jain

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7. Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
   ICML 2024 ·

   Brahma S. Pavse

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8. Reinforcement Learning via Auxiliary Task Distillation
   ECCV 2024 ·

   Abhinav Narayan Harish

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9. SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
   AISTATS 2024 ·

   Subhojyoti Mukherjee

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10. SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
    ICML 2024 ·

    Subhojyoti Mukherjee

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11. Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction
    AAAI 2024 · Josiah P. Hanna
12. Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
    ICLR 2024 ·

    Nicholas Corrado

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