---
title: "Intelligent and Learning Agents: Four Investigations"
authors:
  - "Shivaram Kalyanakrishnan"
doi: "10.24963/ijcai.2021/700"
url: "https://ijcai.org/proceedings/2021/700"
pdf: "https://ijcai.org/proceedings/2021/0700.pdf"
venue: "Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"
year: 2021
pages: "4946-4950"
track: "Early Career"
keywords:
  - "AI Ethics, Trust, Fairness: Societal Impact of AI"
  - "Planning and Scheduling: Applications of Planning"
  - "Machine Learning: Online Learning"
  - "Planning and Scheduling: Markov Decisions Processes"
---

# Intelligent and Learning Agents: Four Investigations

Shivaram Kalyanakrishnan

*Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence*, pages 4946-4950. DOI: [10.24963/ijcai.2021/700](https://doi.org/10.24963/ijcai.2021/700)

## Abstract

My research is driven by my curiosity about the nature of intelligence. Of the several aspects that characterise the behaviour of intelligent agents, I primarily study sequential decision making, learning, and exploration. My interests also extend to broader questions on the effects of AI on life and society. In this paper, I present four distinct investigations drawn from my recent work, which range from theoretical to applied, and which involve both analysis and design. I also share my outlook as an early-career researcher.