1. Internship Topic

Application of reinforcement learning models to assist transactional decision making for better results.

2. Summary of Job Description

The intern will explore feasible applications of artificial intelligence (AI), more specifically reinforcement learning models, to ADB’s internal transactions for better results. As Google has demonstrated with its AlphaGo, the reinforcement learning has been a cutting-edge tool to support various autonomous AI including autonomous driving. Although the spotlights are taken by generative AIs represented by ChatGPT this year, the reinforcement learning combined with human feedback was one of the key secrets behind the performance breakthrough of such large language models. As Google also demonstrated a very successful application of reinforcement learning with its own datacenter in 2016, finance industry has been actively adopting the reinforcement learning models in many use cases. This project will be also part of ADB’s efforts to stay as a leading development bank, actively exploring and adopting such cutting-edge technologies that may bring in enormous efficiency gains to support strategic success of the bank.

The intern will work with OAG and other departments/offices to identify the areas where such reinforcement learning models can be applied, work with ADB staff to gather datasets for such modeling, develop a Proof-of-Concept tool based on reinforcement leaning models to demonstrate the feasibility of such use cases. The intern will also hold a knowledge sharing sessions with ADB staff who may carry on the applications in other transactional areas. The intern may be also benefited by working with a real-world case that will add a great credential to his or her career.

3. Period of Assignment

Duration 8 weeks

Timing: June 2024 onwards

4. Location

Asian Development Bank Headquarters, Manila

5. Expected Outcomes

Output:

A proof-of-concept tool with reinforcement learning models demonstrating the feasibility of adopting the AI for autonomous decision making or copiloting with staff to support specific internal transactions.

Outcomes:

-Deepen the awareness and understanding of ADB staff on the reinforcement learning.

-Assist OAG in determining whether advanced data analytics, AI technologies, or process automation could be used to expand the current applications in internal audit work.

Qualifications

6. Education Requirements

Master’s degree, with specialization in Computer Science, Data Science, Finance, or other relevant applied science. Preference for specialization in AI or machine learning. Candidate must be currently enrolled.

7. Relevant Experience

Knowledge on reinforcement learning models, especially policy iteration models to support unlimited action spaces, and experience in coding and testing various deep learning models to simulate real-world problems.

8. Other Requirements

Upload the following documents in the “Attachments” section of your application:

-Curriculum vitae (CV)

-Proof of enrollment to a Masters or PhD program. Inclusive dates should confirm that you will be enrolled during the intended period of assignment.