Invitation to Submit
제출 안내
The International Conference on Deep Reinforcement Learning and Data Science , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on Deep Reinforcement Learning and Data Science , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
Deep Reinforcement Learning Applications
Challenges In Deep Reinforcement Learning
Ai For Game Playing And Simulations
Real-time Decision Making With Reinforcement Learning
Deep Reinforcement Learning In Robotics
Ethics Of Reinforcement Learning Algorithms
Applications Of Reinforcement Learning In Finance
Data Efficiency In Reinforcement Learning Models
Future Trends In Deep Reinforcement Learning
Reinforcement Learning For Autonomous Systems
Multi-agent Reinforcement Learning Frameworks
Reinforcement Learning For Healthcare Applications
Data-driven Strategies In Reinforcement Learning
Integrating Deep Learning With Reinforcement Learning
Reinforcement Learning For Optimization Problems
Case Studies In Reinforcement Learning Applications
Reinforcement Learning For Energy Management
Ai For Personalized Learning Experiences
Reinforcement Learning In Natural Language Processing
Collaborative Reinforcement Learning Systems
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.