Janarthanan Rajendran

Janarthanan Rajendran

University of Michigan

H-index: 10

North America-United States

About Janarthanan Rajendran

Janarthanan Rajendran, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Artificial Intelligence, Machine Learning, Reinforcement Learning, Deep Learning, NLP.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mastering Memory Tasks with World Models

Learning Conditional Policies for Crystal Design Using Offline Reinforcement Learning

Behavioral Cloning for Crystal Design

Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games

Intelligent Switching for Reset-Free RL

Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi

Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning

Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning

Janarthanan Rajendran Information

University

Position

Ph.D. candidate

Citations(all)

476

Citations(since 2020)

426

Cited By

159

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

12

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Janarthanan Rajendran Skills & Research Interests

Artificial Intelligence

Machine Learning

Reinforcement Learning

Deep Learning

NLP

Top articles of Janarthanan Rajendran

Title

Journal

Author(s)

Publication Date

Mastering Memory Tasks with World Models

arXiv preprint arXiv:2403.04253

Mohammad Reza Samsami

Artem Zholus

Janarthanan Rajendran

Sarath Chandar

2024/3/7

Learning Conditional Policies for Crystal Design Using Offline Reinforcement Learning

Digital Discovery

Prashant Govindarajan

Santiago Miret

Jarrid Rector-Brooks

Mariano Phielipp

Janarthanan Rajendran

...

2024

Behavioral Cloning for Crystal Design

Prashant Govindarajan

Santiago Miret

Jarrid Rector-Brooks

Mariano Phielipp

Janarthanan Rajendran

...

2023

Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games

arXiv e-prints

Arjun Vaithilingam Sudhakar

Prasanna Parthasarathi

Janarthanan Rajendran

Sarath Chandar

2023/11

Intelligent Switching for Reset-Free RL

Darshan Patil

Janarthanan Rajendran

Glen Berseth

Sarath Chandar

2023/10/13

Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi

Hadi Nekoei

Xutong Zhao

Janarthanan Rajendran

Miao Liu

Sarath Chandar

2023/8/20

Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning

Xutong Zhao

Yangchen Pan

Chenjun Xiao

Sarath Chandar

Janarthanan Rajendran

2023/3/16

Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning

Hadi Nekoei

Akilesh Badrinaaraayanan

Amit Sinha

Mohammad Amini

Janarthanan Rajendran

...

2023/11/20

Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning

Ali Rahimi-Kalahroudi

Janarthanan Rajendran

Ida Momennejad

Harm van Seijen

Sarath Chandar

2023/11/20

An introduction to lifelong supervised learning

arXiv preprint arXiv:2207.04354

Shagun Sodhani

Mojtaba Faramarzi

Sanket Vaibhav Mehta

Pranshu Malviya

Mohamed Abdelsalam

...

2022/7/10

Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods

Yi Wan

Ali Rahimi-Kalahroudi

Janarthanan Rajendran

Ida Momennejad

Sarath Chandar

...

2022/6/28

PatchBlender: A Motion Prior for Video Transformers

Gabriele Prato

Yale Song

Janarthanan Rajendran

R Devon Hjelm

Neel Joshi

...

2022

Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks

Janarthanan Rajendran

Jonathan K Kummerfeld

Satinder Singh

2021/10/10

On End-to-End Learning of Neural Goal-Oriented Dialog Systems

Janarthanan Rajendran

2021

Reinforcement Learning of Implicit and Explicit Control Flow in Instructions

Ethan A Brooks

Janarthanan Rajendran

Richard L Lewis

Satinder Singh

2021

Understanding the impact of COVID-19 on online mental health forums

ACM Transactions on Management Information Systems (TMIS)

Laura Biester

Katie Matton

Janarthanan Rajendran

Emily Mower Provost

Rada Mihalcea

2021/9/8

Quantifying the effects of COVID-19 on mental health support forums

Laura Biester

Katie Matton

Janarthanan Rajendran

Emily Mower Provost

Rada Mihalcea

2020

How Should an Agent Practice?

Proceedings of the AAAI Conference on Artificial Intelligence

Janarthanan Rajendran

Richard Lewis

Vivek Veeriah

Honglak Lee

Satinder Singh

2020/4/3

Meta-learning requires meta-augmentation

Janarthanan Rajendran

Alex Irpan

Eric Jang

2020

See List of Professors in Janarthanan Rajendran University(University of Michigan)

Co-Authors

academic-engine