IEEE ISRL 2020 - 5th IEEE International Symposium on Reinforcement Learning

IEEE ISRL 2020 aims to collect recent academic achievements in novel techniques, developments, empirical studies, and new developments in reinforcement learning. Innovative technical applications based on reinforcement learning algorithms are highly encouraged. The objective of IEEE ISRL 2020 is to provide a forum for scientists, engineers, and researchers to discuss and exchange their new ideas, novel results, work in progress and experience on all aspects of reinforcement learning. Topics of particular interest include, but are not limited to:
Current state of reinforcement learning algorithms
Technical issues of reinforcement learning applications
Theoretical and experimental analysis of reinforcement learning
Security and Privacy with reinforcement learning
Learning paradigms for reinforcement learning
Reinforcement learning for scheduling
Reinforcement learning based behaviour correction
High performance computing for training with reinforcement learning
The future applications of reinforcement learning