Accepted Papers

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.