• THIS SCHEDULE TAKES PLACE ON DAY 2

  • 08:00

    WELCOME & OPENING REMARKS - 8am PST | 11am EST | 4pm GMT

  • RL ADVANCEMENTS

  • 08:10

    Exploring the Fundamentals of Reinforcement Learning

  • 08:35

    Transparency in Deep Reinforcement Learning Networks

  • IMPROVING REINFORCEMENT LEARNING

  • 09:00

    Exploration vs Exploitation Dilemma

  • 09:25

    COFFEE & NETWORKING BREAK

  • 09:35

    Bridging the Gap Between Value & Policy Based Reinforcement Learning

  • 10:00

    Human and Multi-Agents Systems

  • 10:25

    BREAKOUT SESSIONS: ROUNDTABLE DISCUSSIONS WITH SPEAKERS

  • 10:45

    COFFEE & NETWORKING BREAK

  • REINFORCEMENT LEARNING APPLICATIONS

  • 10:55

    Transfer Deep Reinforcement Learning in 3D Environments

  • 11:20

    Deep Reinforcement Learning for Robotics

  • 11:45

    MAKE CONNECTIONS: MEET WITH ATTENDEES VIRTUALLY FOR 1:1 CONVERSATIONS & GROUP DISCUSSIONS

  • 12:00

    END OF SUMMIT

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