Accepted Papers

    Oral Presentation and Posters

  • Exploiting Interaction Dynamics for Learning Collaborative Robot Behaviors. [PDF]
    Leonel Rozo, João Silverio, Sylvain Calinon and Darwin G. Caldwell.
  • Active Transfer Learning Using Knowledge of Anticipated Changes. [PDF]
    Matthew Williams and Hala Mostafa.
  • An Empirical Study of Non-Expert Curriculum Design for Machine Learners. [PDF]
    Bei Peng, James MacGlashan, Robert Loftin, Michael Littman, David Roberts and Matthew Taylor.
  • Learning from Stories: Using Natural Communication to Train Believable Agents. [PDF]
    Brent Harrison, Siddhartha Banerjee and Mark Riedl.
  • Policy Shaping from Simulated Critique in Domains with Multiple Optimal Policies. [PDF]
    Himanshu Sahni, Brent Harrison, Kaushik Subramanian, Thomas Cederborg, Charles Isbell and Andrea Thomaz.
  • Toward a General, Scaleable Framework for Bayesian Teaching with Applications to Topic Models. [PDF]
    Baxter Eaves and Patrick Shafto.
  • Rapidly Exploring Learning Trees. [PDF]
    Kyriacos Shiarlis, Joao Messias and Shimon Whiteson.
  • Posters

  • Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning. [PDF]
    Kory W. Mathewson and Patrick M. Pilarski.
  • Face Valuing: Training User Interfaces with Facial Expressions and Reinforcement Learning. [PDF]
    Vivek Veeriah, Patrick M. Pilarski and Richard S. Sutton.
  • Encoding Demonstrations and Learning New Trajectories using Canal Surfaces. [PDF]
    Seyed Reza Ahmadzadeh and Sonia Chernova.
  • Using Feedback in Adaptive and User-Dependent One-Step Decision Making. [PDF]
    Abir B. Karami and Anthony Fleury.
  • Interpretable Transfer for Reinforcement Learning based on Object Similarities. [PDF]
    Ramya Ramakrishnan, Karthik Narasimhan and Julie Shah.
  • Interactive Learning with Convolutional Neural Networks for Image Labeling. [PDF]
    Martin Längkvist, Marjan Alirezaie, Andrey Kiselev and Amy Loutfi.