Call For Papers

Paper submissions due: May 19th, 2019, Anywhere On Earth (UTC-12)

We invite the submission of full 6-8 pages papers, with unlimited space for references and supplementary materials. Submissions should follow the ICML 2019 style guidelines.

Papers can be submitted at the following address: https://cmt3.research.microsoft.com/IIIW2019

Relevant topics include, but are not limited to:

• Imitation Learning
• Inverse Reinforcement Learning
• Theory of Mind
• Multi-Agent Reinforcement Learning

We are particularly interested in research within the following areas:

• inferring intent from multiple modes of data
• multi-agent modeling in cooperative and adversarial settings
• handling partial or incomplete information from an expert demonstrator

The workshop on Imitation, Intention, and Interaction (I3) seeks contributions at the interface of these frontiers, and will bring together researchers from multiple disciplines such as robotics, imitation and reinforcement learning, cognitive science, AI safety, and natural language understanding. Our aim will be to reexamine the assumptions in standard imitation learning problem statements (e.g., inverse reinforcement learning) and connect distinct application disciplines, such as robotics and NLP, with researchers developing core imitation learning algorithms. In this way, we hope to arrive at new problem formulations, new research directions, and the development of new connections across distinct disciplines that interact with imitation learning methods.