Hybrid Conferencee

International Conference on Deep Reinforcement Learning and Data Science (ICDRLDS - 26)

16th - 17th June 2026 | Florence, Italy
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Florence. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Florence event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Florence conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Florence, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Florence."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDRLDS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Artificial Intelligence,Data Science,Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Deep reinforcement learning applications
02
Challenges in deep reinforcement learning
03
AI for game playing and simulations
04
Real-time decision making with reinforcement learning
05
Deep reinforcement learning in robotics
06
Ethics of reinforcement learning algorithms
07
Applications of reinforcement learning in finance
08
Data efficiency in reinforcement learning models
09
Future trends in deep reinforcement learning
10
Reinforcement learning for autonomous systems
11
Multi-agent reinforcement learning frameworks
12
Reinforcement learning for healthcare applications
13
Data-driven strategies in reinforcement learning
14
Integrating deep learning with reinforcement learning
15
Reinforcement learning for optimization problems
16
Case studies in reinforcement learning applications
17
Reinforcement learning for energy management
18
AI for personalized learning experiences
19
Reinforcement learning in natural language processing
20
Collaborative reinforcement learning systems