2025
A Generalist Hanabi Agent
Arjun V Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar
International Conference on Learning Representations (ICLR) 2025
Mitigating Unsafe Feedback with Learning Constraints
Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov, Subhabrata Majumdar, Janarthanan Rajendran, Frank Rudzicz, Hassan Sajjad
Workshop on Artificial Intelligence for Cyber Security (AICS) at AAAI 2025
[arXiv]
2024
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
Matthew D Riemer, Khimya Khetarpal, Janarthanan Rajendran, Sarath Chandar
Neural Information Processing Systems (NeurIPS) 2024
[Paper]
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh
International Conference on Software Maintenance and Evolution (ICSME) 2024
[arXiv]
Dynamic Incentives in Response to Dynamic Pricing
Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi
Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML 2024
Mastering Memory Tasks with World Models
Mohammad Reza Samsami*, Artem Zholus*, Janarthanan Rajendran, Sarath Chandar
International Conference on Learning Representations (ICLR) 2024
Initial version was presented at the Workshop on Agent Learning in Open-Endedness (ALOE) at NeurIPS 2023
Ranked among the top 1.2 % of the 7304 submissions received at ICLR 2024
Intelligent Switching for Reset-Free Reinforcement Learning
Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
International Conference on Learning Representations (ICLR) 2024
2023
Learning Conditional Policies for Crystal Design Using Offline Reinforcement Learning
Prashant Govindarajan, Santiago Miret, Jarrid Rector-Brooks, Mariano Phielipp, Janarthanan Rajendran, Sarath Chandar
AI for Accelerated Materials Design (AI4Mat), Digital Discovery Journal 2023
[Paper]
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning
Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
Conference on Uncertainty in Artificial Intelligence (UAI) 2023
Replay Buffer with Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning
Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs) 2023
Initial version was presented at the Workshop on Deep Reinforcement Learning at NeurIPS 2022
Part of Ali's thesis that won the Canadian Artificial Intelligence Association (CAIAC) 2024 Best Master’s Thesis Award
Towards Few-shot Coordination: Revisiting Ad-Hoc Teamplay Challenge in the Game of Hanabi
Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs) 2023
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, Aditya Mahajan, Sarath Chandar
Conference on Lifelong Learning Agents (CoLLAs) 2023
Initial version was presented at the Workshop on Gamification and Multi-Agent Solutions at ICLR 2022
Behavior Cloning for Crystal Design
Prashant Govindarajan, Santiago Miret, Jarrid Rector-Brooks, Mariano Phielipp, Janarthanan Rajendran, Sarath Chandar
Workshop on Machine Learning for Materials at ICLR 2023
2022
PatchBlender: A Motion Prior for Video Transformers
Gabriele Prato, Yale Song, Janarthanan Rajendran, Devon Hjelm, Neel Joshi, Sarath Chandar
Workshop on Vision Transformers: Theory and Applications at NeurIPS 2022
[arXiv]
An Introduction to Lifelong Supervised Learning
Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed Abdelsalam, Janarthanan Rajendran, Sarath Chandar
arXiv 2022
[arXiv]
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
Yi Wan*, Ali Rahimi-Kalahroudi*, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
International Conference on Machine Learning (ICML) 2022
Initial version was presented at the Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) 2022 and at the Workshop on Agent Learning in Open-Endedness (ALOE) at ICLR 2022
Part of Ali's thesis that won the Canadian Artificial Intelligence Association (CAIAC) 2024 Best Master’s Thesis Award
2021
Learning to Learn End-to-End Goal-Oriented Dialog from Related Tasks
Janarthanan Rajendran, Jonathan K. Kummerfeld, Satinder Singh
Workshop on NLP for Conversational AI at EMNLP 2021
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions
Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
International Conference on Machine Learning (ICML) 2021
Understanding the Impact of COVID-19 on Online Mental Health Forums
Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
ACM Transactions on Management Information Systems (TMIS) 2021
[Paper]
2020
Meta-Learning Requires Meta-Augmentation
Janarthanan Rajendran*, Alex Irpan*, Eric Jang*
Neural Information Processing Systems (NeurIPS) 2020
Quantifying the Effects of COVID-19 on Mental Health Support Forums
Laura Biester*, Katie Matton*, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
Workshop on NLP for COVID-19 at EMNLP 2020
How Should an Agent Practice?
Janarthanan Rajendran, Richard Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
Association for the Advancement of Artificial Intelligence (AAAI) 2020
2019
The Discovery of Useful Questions as Auxiliary Tasks
Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
Neural Information Processing Systems (NeurIPS) 2019
Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use
Janarthanan Rajendran, Jatin Ganhotra, Lazaros C. Polymenakos
Transactions of the Association for Computational Linguistics (TACL) 2019
NE-Table: A Neural Key-Value Table for Named Entities
Janarthanan Rajendran*, Jatin Ganhotra*, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros C. Polymenakos
Recent Advances in Natural Language Processing (RANLP) 2019
2018
Learning End-to-End Goal-Oriented Dialog With Multiple Answers
Janarthanan Rajendran*, Jatin Ganhotra*, Satinder Singh, Lazaros C. Polymenakos
Empirical Methods in Natural Language Processing (EMNLP) 2018
2017
Attend, Adapt, and Transfer: Attentive Deep Architecture for Adaptive Transfer From Multiple Sources in the Same Domain
Janarthanan Rajendran*, Aravind S. Lakshminarayanan*, Mitesh M. Khapra, Prasanna Parthasarathi, Balaraman Ravindran
International Conference on Learning Representations (ICLR) 2017
Initial version was presented at the Workshop on Deep Reinforcement Learning at NeurIPS 2015
2016
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning
Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran
North American Chapter of the Association of Computational Linguistics (NAACL) 2016
Initial version was presented in the Workshop on Multimodal Machine Learning, NeurIPS 2015
Mentioned in the article 'The Top AI Breakthroughs of 2015' by the Future of Life Institute
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation
Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho
International Conference on Computational Linguistics (COLING ) 2016
2015
Stability and Bifurcation Analysis of a Pupillary Light Reflex Model
Janarthanan Rajendran, Sivashyam Sundar Arutprakasam, Amit M. Warrier
Control and Decision Conference (CCDC ) 2015
[Paper]
2014
How Popular Are Your Tweets?
Avijit Saha, Janarthanan Rajendran, Shubhranshu Shekhar, Balaraman Ravindran
Workshop on the Recommender Systems Challenge at RecSys 2014
[Paper]