Special Session on
Deep Reinforcement Learning and Attention Models
Call for Papers
This special session provides a platform for researchers from the Deep Reinforcement Learning and Attention Models communities to showcase their models It will focus on the potential benefits of the different approaches to combine DRL and attention mechanisms to harness the best out of these fields. The aim is to bring more focus onto the potential of infusing reinforcement learning framework with deep learning and attention mechanism capabilities that could allow it to deal more efficiently with more realistic learning applications. Simple deep learning models have the ability to scale well into difficult problems as long as it is trained on relevant data. Their main advantage is an improved data representation. Generative models that utilize attention mechanisms have the ability to efficiently self-generate relevant samples from available data.
Reinforcement learning on the other hand explored the ideas of a self-sustained training process since its early models. DRL has wide applications such as robotics, self-driving cars, and hyperparameter tuning. RL together with generative attention models constitutes an important step towards the ultimate goal of the self-sustained learning process. This session attempts to address broad questions such as: “How to relate experience replay with the batch update?”, “How to make the state-action learning process deep?”, “How to make the architecture of an RL system appropriate to deep learning without compromising the interactivity of the system?”. Although recently there have been important advances in dealing with these issues, they are still scattered and with no overarching framework that promotes them in a well-defined and consistent way.
Scope and Topics:
Paper submission: January 31, 2022
Notification of acceptance: April 26, 2022
Final paper submission: May 23, 2022
Conference Date: July 18-23, 2022
Dr. Abdulrahman Altahhan, email@example.com, University of Leeds, UK.
Prof. Vasile Palade, firstname.lastname@example.org, Coventry University, UK.
To submit your paper please choose our special session "Deep Reinforcement and Attention Models" in the research topic list. https://wcci2022.org/