• THIS SCHEDULE TAKES PLACE ON DAY 2

  • 08:00

    WELCOME & OPENING REMARKS

  • DEEP REINFORCEMENT LEARNING - THE FOUNDATIONS

  • 08:10

    Exploring the Fundamentals of Reinforcement Learning

  • 08:30

    Transparency in Deep Reinforcement Learning Networks

  • ADVANCING RESEARCH METHODS & TOOLS

  • 08:50

    Meta-Learning: Learning to Learn

  • 09:10

    Reinforcement Learning via Imitation Learning

  • 09:30

    COFFEE BREAK

  • 10:15

    Understanding How Value Predictions Shape Deep Representations

  • 10:35

    Building Knowledge For AI Agents With Reinforcement Learning

  • RL & ROBOTICS

  • 10:55

    The New Wave in Robot Grasping

  • 11:15

    Towards Self-supervised Curious Robots

  • 11:30

    NETWORKING & DISCUSSION

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