• Ian Osband

  • Mar 7 2024
  • Duración: 1 h y 8 m
  • Podcast

Ian Osband Por arte de portada

Ian Osband

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  • Resumen

  • Ian Osband is a Research scientist at OpenAI (ex DeepMind, Stanford) working on decision making under uncertainty.

    We spoke about:

    - Information theory and RL

    - Exploration, epistemic uncertainty and joint predictions

    - Epistemic Neural Networks and scaling to LLMs


    Featured References

    Reinforcement Learning, Bit by Bit
    Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen

    From Predictions to Decisions: The Importance of Joint Predictive Distributions

    Zheng Wen, Ian Osband, Chao Qin, Xiuyuan Lu, Morteza Ibrahimi, Vikranth Dwaracherla, Mohammad Asghari, Benjamin Van Roy

    Epistemic Neural Networks

    Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy


    Approximate Thompson Sampling via Epistemic Neural Networks

    Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy


    Additional References

    • Thesis defence, Ian Osband
    • Homepage, Ian Osband
    • Epistemic Neural Networks at Stanford RL Forum
    • Behaviour Suite for Reinforcement Learning, Osband et al 2019
    • Efficient Exploration for LLMs, Dwaracherla et al 2024
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