[agents] Special Issue on Reinforcement Learning: Algorithms and Applications

[Michael Kaisers]

Special Issue on *Reinforcement Learning: Algorithms and Applications*
within MDPI Journal Algorithms (Open Access, CiteScore 2.2)

Deadline: 31 January 2021.
https://www.mdpi.com/journal/algorithms/special_issues/Reinforcement_Learning


Dear Colleagues,

Reinforcement learning is a research area with tremendous progress in
addressing the various fundamental challenges that arise in applications.
The aim of this special issue is to (1) identify and characterise these
arising fundamental challenges, (2) delineate progress towards solving
them, and (3) highlight insights gained in successful real-world
applications, such as observed synergies between techniques.

We invite high quality original contributions to this Special Issue on
"Reinforcement Learning: Algorithms and Applications". Submissions that
integrate progress against a fundamental challenge with empirical evidence
in a specific application are particularly encouraged.

The following is a (non-exhaustive) list of topics of interests within
reinforcement learning:
- **Fundamental challenges** such as autonomy and interdependence, partial
observability, the need for exploration, and scaling to large
state/action/belief/parameter spaces.
- **Reinforcement learning techniques**, such as learning targets and
backup operators, auxiliary tasks, hierarchical models, particular or
multiple objectives (e.g. considering risk, robustness, safety, or
explainability), multi-agent learning / population-based training.
- **Functioning learning systems** and synergies of techniques to compose
them, e.g. for control (robotics, smart industry), resource allocation
(energy, finance, advertisements, transportation), information systems
(recommender systems, communication).
- **Insights** on convergence, optimality, regret, topologies of
representation/encoding of states, beliefs, policies etc.

Dr. Michael Kaisers
Guest Editor


-- 
*Michael Kaisers, PhD*
Scientific Staff Member, Intelligent and Autonomous Systems
Centrum Wiskunde & Informatica (CWI)
Sciencepark 123, 1098 XG Amsterdam

www.michaelkaisers.com
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