Janarthanan Rajendran

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Reinforcement Learning

Top Venues

Publications

Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
Intelligent Switching for Reset-Free RL. ICLR (2024)
Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar
Mastering Memory Tasks with World Models. ICLR (2024)
Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
Intelligent Switching for Reset-Free RL. CoRR (2024)
Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi
Fairness Incentives in Response to Unfair Dynamic Pricing. CoRR (2024)
Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar
Mastering Memory Tasks with World Models. CoRR (2024)
Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning. CoLLAs (2023)
Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning. UAI (2023)
Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning. CoRR (2023)
Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi. CoRR (2023)
Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning. CoRR (2023)
Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoRR (2023)
Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi. CoLLAs (2023)
Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar
Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games. CoRR (2023)
Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoLLAs (2023)
Gabriele Prato, Yale Song, Janarthanan Rajendran, R. Devon Hjelm, Neel Joshi, Sarath Chandar
PatchBlender: A Motion Prior for Video Transformers. CoRR (2022)
Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed Abdelsalam, Janarthanan Rajendran, Sarath Chandar
An Introduction to Lifelong Supervised Learning. CoRR (2022)
Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. ICML (2022)
Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. CoRR (2022)
Janarthanan Rajendran, Jonathan K. Kummerfeld, Satinder Singh
Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks. CoRR (2021)
Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
Understanding the Impact of COVID-19 on Online Mental Health Forums. ACM Trans. Manag. Inf. Syst. 12 (4) (2021)
Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions. CoRR (2021)
Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
Reinforcement Learning of Implicit and Explicit Control Flow Instructions. ICML (2021)
Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
How Should an Agent Practice? AAAI (2020)
Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
Quantifying the Effects of COVID-19 on Mental Health Support Forums. CoRR (2020)
Janarthanan Rajendran, Alexander Irpan, Eric Jang
Meta-Learning Requires Meta-Augmentation. NeurIPS (2020)
Janarthanan Rajendran, Alex Irpan, Eric Jang
Meta-Learning Requires Meta-Augmentation. CoRR (2020)
Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
Quantifying the Effects of COVID-19 on Mental Health Support Forums. NLP4COVID@EMNLP (2020)
Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
How Should an Agent Practice? CoRR (2019)
Janarthanan Rajendran, Jatin Ganhotra, Lazaros Polymenakos
Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use. CoRR (2019)
Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Useful Questions as Auxiliary Tasks. NeurIPS (2019)
Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos
NE-Table: A Neural key-value table for Named Entities. RANLP (2019)
Janarthanan Rajendran, Jatin Ganhotra, Lazaros C. Polymenakos
Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use. Trans. Assoc. Comput. Linguistics 7 (2019)
Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Useful Questions as Auxiliary Tasks. CoRR (2019)
Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos
Learning End-to-End Goal-Oriented Dialog with Multiple Answers. CoRR (2018)
Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh
Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities. CoRR (2018)
Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos
Learning End-to-End Goal-Oriented Dialog with Multiple Answers. EMNLP (2018)
Janarthanan Rajendran, Aravind S. Lakshminarayanan, Mitesh M. Khapra, P. Prasanna, Balaraman Ravindran
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain. ICLR (Poster) (2017)
Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. COLING (2016)
Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. HLT-NAACL (2016)
Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. CoRR (2016)
Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. CoRR (2015)
Janarthanan Rajendran, P. Prasanna, Balaraman Ravindran, Mitesh M. Khapra
ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources. CoRR (2015)