Janarthanan Rajendran

50 papers A* 10A 2B 1Misc 1Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Generalist Hanabi Agent. ICLR Arjun Vaithilingam Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar
2025	J	`jnl`	A Generalist Hanabi Agent. CoRR Arjun Vaithilingam Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar
2025	J	`jnl`	Balancing Profit and Fairness in Risk-Based Pricing Markets. CoRR Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi
2024	A*	`conf`	Balancing Context Length and Mixing Times for Reinforcement Learning at Scale. NeurIPS Matthew Riemer, Khimya Khetarpal, Janarthanan Rajendran, Sarath Chandar
2024	J	`jnl`	Defending against Reverse Preference Attacks is Difficult. CoRR Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov, Subhabrata Majumdar, Janarthanan Rajendran, Frank Rudzicz, Hassan Sajjad
2024	J	`jnl`	Fairness Incentives in Response to Unfair Dynamic Pricing. CoRR Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi
2024	A*	`conf`	Intelligent Switching for Reset-Free RL. ICLR Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
2024	J	`jnl`	Intelligent Switching for Reset-Free RL. CoRR Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
2024	A*	`conf`	Mastering Memory Tasks with World Models. ICLR Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar
2024	J	`jnl`	Mastering Memory Tasks with World Models. CoRR Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar
2024	A	`conf`	Toward Debugging Deep Reinforcement Learning Programs with RLExplorer. ICSME Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh
2024	J	`jnl`	Toward Debugging Deep Reinforcement Learning Programs with RLExplorer. CoRR Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh
2023	J	`jnl`	Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning. CoRR Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
2023	A	`conf`	Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning. UAI Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran
2023	—	`conf`	Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoLLAs Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar
2023	J	`jnl`	Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoRR Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar
2023	J	`jnl`	Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games. CoRR Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar
2023	J	`jnl`	Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning. CoRR Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
2023	—	`conf`	Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning. CoLLAs Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar
2023	—	`conf`	Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi. CoLLAs Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar
2023	J	`jnl`	Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi. CoRR Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar
2022	J	`jnl`	An Introduction to Lifelong Supervised Learning. CoRR Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed A. Abdelsalam, Janarthanan Rajendran, Sarath Chandar
2022	J	`jnl`	PatchBlender: A Motion Prior for Video Transformers. CoRR Gabriele Prato, Yale Song, Janarthanan Rajendran, R. Devon Hjelm, Neel Joshi, Sarath Chandar
2022	A*	`conf`	Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. ICML Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
2022	J	`jnl`	Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. CoRR Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen
2021	J	`jnl`	Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks. CoRR Janarthanan Rajendran, Jonathan K. Kummerfeld, Satinder Singh
2021	—	`—`	On End-to-End Learning of Neural Goal-Oriented Dialog Systems. Janarthanan Rajendran
2021	A*	`conf`	Reinforcement Learning of Implicit and Explicit Control Flow Instructions. ICML Ethan Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
2021	J	`jnl`	Reinforcement Learning of Implicit and Explicit Control Flow in Instructions. CoRR Ethan Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
2021	J	`jnl`	Understanding the Impact of COVID-19 on Online Mental Health Forums. ACM Trans. Manag. Inf. Syst. Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
2020	A*	`conf`	How Should an Agent Practice? AAAI Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
2020	A*	`conf`	Meta-Learning Requires Meta-Augmentation. NeurIPS Janarthanan Rajendran, Alexander Irpan, Eric Jang
2020	J	`jnl`	Meta-Learning Requires Meta-Augmentation. CoRR Janarthanan Rajendran, Alex Irpan, Eric Jang
2020	—	`conf`	Quantifying the Effects of COVID-19 on Mental Health Support Forums. NLP4COVID@EMNLP Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
2020	J	`jnl`	Quantifying the Effects of COVID-19 on Mental Health Support Forums. CoRR Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
2019	A*	`conf`	Discovery of Useful Questions as Auxiliary Tasks. NeurIPS Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
2019	J	`jnl`	Discovery of Useful Questions as Auxiliary Tasks. CoRR Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
2019	J	`jnl`	How Should an Agent Practice? CoRR Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
2019	J	`jnl`	Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use. CoRR Janarthanan Rajendran, Jatin Ganhotra, Lazaros Polymenakos
2019	J	`jnl`	Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use. Trans. Assoc. Comput. Linguistics Janarthanan Rajendran, Jatin Ganhotra, Lazaros C. Polymenakos
2019	Misc	`conf`	NE-Table: A Neural key-value table for Named Entities. RANLP Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos
2018	A*	`conf`	Learning End-to-End Goal-Oriented Dialog with Multiple Answers. EMNLP Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos
2018	J	`jnl`	Learning End-to-End Goal-Oriented Dialog with Multiple Answers. CoRR Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos
2018	J	`jnl`	Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities. CoRR Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh
2017	—	`conf`	Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain. ICLR (Poster) Janarthanan Rajendran, Aravind S. Lakshminarayanan, Mitesh M. Khapra, P. Prasanna, Balaraman Ravindran
2016	B	`conf`	A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. COLING Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho
2016	J	`jnl`	A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. CoRR Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho
2016	—	`conf`	Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. HLT-NAACL Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran
2015	J	`jnl`	ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources. CoRR Janarthanan Rajendran, P. Prasanna, Balaraman Ravindran, Mitesh M. Khapra
2015	J	`jnl`	Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. CoRR Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran