International Conference on Reinforcement Learning and Data Science (ICRLDS-27)

Conference Session Tracks

Aligned with

UN SUSTAINABLE DEVELOPMENT GOALS

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.

SDG 4 Quality Education

SDG 8 Decent Work and Economic Growth

SDG 9 Industry, Innovation and Infrastructure

TRACK 01

Advancements in Reinforcement Learning Algorithms

This track focuses on the latest developments in reinforcement learning algorithms, including policy optimization and Q-...

TRACK 02

Deep Reinforcement Learning Applications

This session will explore the application of deep reinforcement learning in various domains, including robotics and auto...

TRACK 03

Multi-Agent Systems and Collaborative Learning

This track examines the dynamics of multi-agent systems and their role in reinforcement learning. Contributions should f...

TRACK 04

Exploration-Exploitation Tradeoff in Learning

This session addresses the critical exploration-exploitation tradeoff in reinforcement learning frameworks. Researchers ...

TRACK 05

Model-Free Learning Techniques

This track highlights advancements in model-free learning methods within reinforcement learning paradigms. Submissions s...

TRACK 06

Markov Decision Processes in AI

This session delves into the application of Markov decision processes in artificial intelligence and data science. Paper...

TRACK 07

Robotics and Reinforcement Learning

This track focuses on the intersection of robotics and reinforcement learning, showcasing applications that enhance robo...

TRACK 08

Adaptive Decision Making in Uncertain Environments

This session investigates adaptive decision-making strategies in uncertain environments using reinforcement learning. Re...

TRACK 09

Temporal Difference Learning Innovations

This track explores recent innovations in temporal difference learning methods within reinforcement learning. Participan...

TRACK 10

Simulation-Based Learning Approaches

This session focuses on the role of simulation-based learning in reinforcement learning research. Contributions should e...

TRACK 11

Reward-Based Learning Strategies

This track examines various reward-based learning strategies in reinforcement learning frameworks. Researchers are encou...

Hybrid Event