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

16th - 17th October 2026 Addis Ababa, Ethiopia
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Join researchers, academicians, professionals, and industry experts to exchange ideas, strengthen academic collaboration, and explore research-driven practices across diverse disciplines.

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4 Terms & Condition
Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to event@after.org.in. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to event@after.org.in

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Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 SDG 8 SDG 9 SDG 11
01 Advancements in Reinforcement Learning Algorithms
This track focuses on the latest developments in reinforcement learning algorithms, including policy optimization and Q-learning techniques. Researchers are invited to present innovative approaches that enhance the efficiency and effectiveness of these algorithms.
02 Deep Reinforcement Learning Applications
This session will explore the application of deep reinforcement learning in various domains, including robotics and autonomous systems. Participants will discuss case studies and methodologies that demonstrate the practical impact of deep learning techniques in reinforcement learning.
03 Multi-Agent Systems and Collaborative Learning
This track examines the dynamics of multi-agent systems and their role in reinforcement learning. Contributions should focus on collaborative learning strategies, communication protocols, and the optimization of agent interactions.
04 Exploration-Exploitation Tradeoff in Learning
This session addresses the critical exploration-exploitation tradeoff in reinforcement learning frameworks. Researchers are encouraged to present novel strategies and theoretical insights that balance exploration and exploitation effectively.
05 Model-Free Learning Techniques
This track highlights advancements in model-free learning methods within reinforcement learning paradigms. Submissions should detail innovative techniques that improve learning efficiency without relying on explicit models of the environment.
06 Markov Decision Processes in AI
This session delves into the application of Markov decision processes in artificial intelligence and data science. Papers should explore theoretical advancements and practical implementations that leverage MDPs for decision-making.
07 Robotics and Reinforcement Learning
This track focuses on the intersection of robotics and reinforcement learning, showcasing applications that enhance robotic capabilities through learning. Contributions should highlight real-world implementations and experimental results.
08 Adaptive Decision Making in Uncertain Environments
This session investigates adaptive decision-making strategies in uncertain environments using reinforcement learning. Researchers are invited to present frameworks that enable robust decision-making under varying conditions.
09 Temporal Difference Learning Innovations
This track explores recent innovations in temporal difference learning methods within reinforcement learning. Participants should discuss new algorithms and their implications for improving learning performance.
10 Simulation-Based Learning Approaches
This session focuses on the role of simulation-based learning in reinforcement learning research. Contributions should emphasize methodologies that utilize simulations to enhance learning outcomes and decision-making processes.
11 Reward-Based Learning Strategies
This track examines various reward-based learning strategies in reinforcement learning frameworks. Researchers are encouraged to present novel approaches that optimize reward structures for improved learning efficiency.