DERL18: AAAI Symposium on Data Efficient Reinforcement Learning Standford, CA, United States, March 25-28, 2018 |
Conference website | https://www.prowler.io/aaai-symposium/ |
Submission link | https://easychair.org/conferences/?conf=derl18 |
Motivation:
Sequential decision making (SDM) is an essential component for autonomous systems. Although significant progress has been made towards developing algorithms for solving isolated SDM tasks, these algorithms often require large amounts of experience before achieving acceptable performance. This is particularly true in the case of high dimensional tasks, such as robotics control or general game playing environments.
Multiple methods have been proposed for efficient reinforcement learning algorithms that can generalize well to unobserved environments or situations. These include imitation learning, lifelong learning, multi-task learning, transfer learning, and model-based reinforcement learning.
This symposium will give reinforcement learning researchers an opportunity to present their work and to discuss potential solutions for these challenging problems. We solicit papers that present novel results and algorithms, with an emphasis on approaches that are theoretically grounded. We are also particularly interested in RL benchmarking and applications in various fields such as robotics, medicine, and game playing, as well as real-world, large-scale applications. Submissions from inverse reinforcement learning are also welcomed. Topics of interest include but are not limited to:
- Reinforcement Learning
- Model-Based Reinforcement Learning
- Inverse Reinforcement Learning
- Deep Reinforcement Learning
- Transfer Learning
- Multi-Task Reinforcement Learning
- Lifelong Reinforcement Learning
- Large-Scale Applications of Reinforcement Learning
- Novel Applications of Reinforcement Learning
- Benchmarking Reinforcement Learning Algorithms
- Learning from Demonstration
- Imitation Learning
Symposium Organization & Important Dates:
The symposium will include invited talks, presentations of accepted papers and discussions. Invited speakers and presentations will be announced after the submissions.
We solicit both long (6 pages and an additional page for reference) and short (3 pages and an additional page for references) submission on topics related to the above. Field positioning papers and open challenges are also of major interest. Submissions should follow the AAAI conference format. Long papers will be scheduled for oral presentations, and short papers for poster demonstrations.
Submission Deadline: Wednesday, November 15th, 2017
Author Notification: Monday, January 29th, 2018
Symposium Date: March 26-28, 2018
Invited Speakers:
Warren Powell (Princeton University)
Peter Stone (The University of Texas at Austin)
Jan Peters (Technical University of Darmstadt)
Han Liu (Princeton University)
James Hensman (PROWLER.io)
Program Committee:
Jan Peters (Technical University of Darmstadt)
Alessandro Lazaric (Inria)
Marc Deisenroth (Imperial College London)
Josiah Hanna (The University of Texas at Austin)
Kee-Eung Kim (KAIST)
Dongho Kim (PROWLER.io)
James Hensman (PROWLER.io)
Enrique Munoz de Cote (PROWLER.io)
Peter Vrancx (PROWLER.io)
Haitham Bou Ammar (PROWLER.io)
Kee-Eung Kim (KAIST)
Organizing Committee:
Haitham Bou Ammar (PROWLER.io)
Dongho Kim (PROWLER.io)
Enrique Munoz de Cote (PROWLER.io)
James Hensman (PROWLER.io)
Matthew E. Taylor (Washington State University)