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    26 repositories

    • guide-public

      Public
      TypeScript
      •0•2•0•0•Updated Apr 17, 2026Apr 17, 2026

    • PBRR-ICLR

      Public
      Python
      •0•0•0•0•Updated Mar 10, 2026Mar 10, 2026

    • reward_hacking_env_playing_around

      Public
      Python
      •0•0•0•0•Updated Nov 8, 2025Nov 8, 2025

    • insight-eval

      Public
      JavaScript
      •2•0•0•0•Updated Apr 25, 2025Apr 25, 2025

    • ed-expert-simulator

      Public
      Python
      •1•7•0•0•Updated May 6, 2024May 6, 2024

    • adaptive-interventions-with-goals

      Public
      Python
      •0•2•0•0•Updated Apr 25, 2024Apr 25, 2024

    • prolific-eval

      Public
      JavaScript
      •2•0•0•0•Updated Feb 7, 2024Feb 7, 2024

    • smart_primer_bot_public

      Public
      Python
      •1•0•0•0•Updated Aug 9, 2023Aug 9, 2023

    • smart-primer-website-public

      Public
      TypeScript
      •0•1•0•0•Updated Aug 9, 2023Aug 9, 2023

    • waypoint-transformer

      Public
      Python
      •
      MIT License
      •3•5•0•0•Updated May 22, 2023May 22, 2023

    • Split-select-retrain

      Public
      Python
      •0•0•1•0•Updated Apr 10, 2023Apr 10, 2023

    • off_policy_confounding

      Public
      Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
      Jupyter Notebook
      •1•5•0•1•Updated Mar 24, 2023Mar 24, 2023

    • grf

      Public
      Generalized Random Forests
      C++
      •
      GNU General Public License v3.0
      •275•0•0•0•Updated Dec 14, 2022Dec 14, 2022

    • poela

      Public
      POELA: Policy Optimization with ELigible Actions
      Jupyter Notebook
      •0•3•0•0•Updated Oct 27, 2022Oct 27, 2022

    • cmab_convex_opt

      Public
      Replication code for the paper "Beyond Unconstrained Reward Maximization: Contextual Multi-Armed Bandits for General Optimizations" by [Zhu et al. 2022].
      Jupyter Notebook
      •1•0•0•0•Updated Oct 13, 2022Oct 13, 2022

    • FactoredDRO

      Public
      Code for the paper Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits (Neurips 2022)
      MIT License
      •0•1•0•0•Updated Oct 2, 2022Oct 2, 2022

    • CSRL

      Public
      Jupyter Notebook
      •1•5•0•0•Updated Dec 30, 2021Dec 30, 2021

    • SmartPrimer_Gym

      Public
      Smart Primer children simulator and offline analysis
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated May 15, 2021May 15, 2021

    • HBBS

      Public
      Hierarchical Batch Bandit Search
      Python
      •1•0•0•0•Updated Feb 19, 2020Feb 19, 2020

    • Automatic_Curriculum_ZPDES_Memory

      Public
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Oct 30, 2019Oct 30, 2019

    • learning-compatible-performance-support

      Public
      Code for "Fake It Till You Make It: Learning-Compatible Performance Support." Jonathan Bragg and Emma Brunskill. In 2019 Conference on Uncertainty in Artificial…
      Python
      •2•3•0•0•Updated Jul 22, 2019Jul 22, 2019

    • tclust-eval

      Public
      Evaluation criteria for the external evaluation of temporal clusterings.
      Jupyter Notebook
      •0•1•0•0•Updated May 9, 2019May 9, 2019

    • PLOTS

      Public
      0•1•0•0•Updated Mar 4, 2019Mar 4, 2019

    • ICLR2019_prism

      Public
      Code for Prism, the hierarchical Bayesian model from the paper "Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure", Karan Goel …
      Python
      •
      MIT License
      •1•1•0•0•Updated Feb 23, 2019Feb 23, 2019

    • ICLR2019_evaluating_discrete_temporal_structure

      Public
      Reproduce results from the paper "Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure", Karan Goel and Emma Brunskill. ICLR 2019.
      Python
      •
      MIT License
      •1•3•0•0•Updated Feb 22, 2019Feb 22, 2019

    • RepBM

      Public
      Representation Balancing MDPs for Off-Policy Policy Evaluation
      Python
      •
      MIT License
      •7•8•0•0•Updated Dec 1, 2018Dec 1, 2018
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