ICRLDS
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
ICRLDS
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
reinforcement learning
policy optimization
Q-learning
deep reinforcement learning
multi-agent systems
reward-based learning
exploration-exploitation tradeoff
model-free learning
Markov decision processes
robotics applications
adaptive decision making
reinforcement learning algorithms
temporal difference learning
simulation-based learning
Start Date
Monday, June 15, 2026
Registration Deadline
Sunday, May 31, 2026
Submission Deadline
Tuesday, May 26, 2026
Glasgow, United Kingdom