Satinder Singh

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 83

Top Topics

Credit Assignment

Policy Gradient Methods

Reinforcement Learning

Top Venues

Publications

Bernardo Ávila Pires, Feryal M. P. Behbahani, Hubert Soyer, Kyriacos Nikiforou, Thomas Keck, Satinder Singh
Hierarchical Reinforcement Learning in Complex 3D Environments. CoRR (2023)
Van Hau Le, Ti Ti Nguyen, Kim Khoa Nguyen, Verdier Assoume, Satinder Singh
Jamming Mitigation for Mixed RF/FSO Relay Networks Under Simultaneous Interceptions. GLOBECOM (2023)
Feng Yu, Hui Lin, Xiaoding Wang, Sahil Garg, Georges Kaddoum, Satinder Singh, Mohammad Mehedi Hassan
Communication-Efficient Personalized Federated Meta-Learning in Edge Networks. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
Aida Meftah, Tri Nhu Do, Georges Kaddoum, Chamseddine Talhi, Satinder Singh
Federated Learning-Enabled Jamming Detection and Waveform Classification for Distributed Tactical Wireless Networks. IEEE Trans. Netw. Serv. Manag. 20 (4) (2023)
Do Dang, Kim Khoa Nguyen, Verdier Assoume Mba, Satinder Singh
Efficient Link-State Multicast Routing by Optimizing Link-Weight with MARL. MILCOM (2023)
Chen Wang, Daosen Zhai, Ruonan Zhang, Georges Kaddoum, Satinder Singh
Energy Consumption Minimization in Dynamic UAV-assisted Mobile Edge Computing Networks. ICC (2023)
Huan Li, Daosen Zhai, Ruonan Zhang, Kuljeet Kaur, Satinder Singh
Efficient GBS Sleep Strategy of UAV Assisted Wireless Networks for Energy Saving. ICC (2023)
Chen Han, Haotong Cao, Zhi Lin, Kang An, Sahil Garg, Georges Kaddoum, Satinder Singh
Anti-jamming Transmission in NOMA-based Multi-cell Satellite-terrestrial Integrated Networks. IWCMC (2023)
Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado Philip van Hasselt, András György, Satinder Singh
Optimistic Meta-Gradients. NeurIPS (2023)
Van Hau Le, Ti Ti Nguyen, Kim Khoa Nguyen, Verdier Assoume, Satinder Singh
Joint Jamming Alleviation for Mixed RF/FSO Relay Networks: Optimization and Learning Approaches. MILCOM (2023)
David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado Philip van Hasselt, Satinder Singh
A Definition of Continual Reinforcement Learning. NeurIPS (2023)
Awaneesh Kumar Yadav, Pradumn Kumar Pandey, Kuljeet Kaur, Satinder Singh, Abbas Bradai
PSLP-5G: A Provably Secure and Lightweight Protocol for 5G Communication. ICC (2023)
Prabhat Kumar, Randhir Kumar, Abhinav Kumar, A. Antony Franklin, Sahil Garg, Satinder Singh
Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network. IEEE Trans. Netw. Sci. Eng. 10 (5) (2023)
Abdallah S. Ghazy, Georges Kaddoum, Satinder Singh
Low-Latency Low-Energy Adaptive Clustering Hierarchy Protocols for Underwater Acoustic Networks. IEEE Access 11 (2023)
Van Hau Le, Ti Ti Nguyen, Kim Khoa Nguyen, Satinder Singh
Joint Energy and Correlation Based Anti-Intercepts for Ground Combat Vehicles. MILCOM (2022)
Ti Ti Nguyen, Kim-Khoa Nguyen, Satinder Singh
Intelligent Reflecting Surface-based Secrecy Rate Enhancement in Multicast Multigroup Tactical Communication Systems. MILCOM (2022)
Dilip Arumugam, Satinder Singh
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction. CoRR (2022)
Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh
GrASP: Gradient-Based Affordance Selection for Planning. CoRR (2022)
Imran Ashraf, Yousaf Bin Zikria, Sahil Garg, Yongwan Park, Georges Kaddoum, Satinder Singh
Zero Touch Networks to Realize Virtualization: Opportunities, Challenges, and Future Prospects. IEEE Netw. 36 (6) (2022)
Christopher Grimm, André Barreto, Satinder Singh
Approximate Value Equivalence. NeurIPS (2022)
Haotong Cao, Sahil Garg, Georges Kaddoum, Satinder Singh, M. Shamim Hossain
Softwarized Resource Management and Allocation With Autonomous Awareness for 6G-Enabled Cooperative Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Tom Zahavy, Brendan O'Donoghue, André Barreto, Volodymyr Mnih, Sebastian Flennerhag, Satinder Singh
Discovering Diverse Nearly Optimal Policies withSuccessor Features. CoRR (2021)
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
Learning State Representations from Random Deep Action-conditional Predictions. CoRR (2021)
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. IJCAI (2021)
Janarthanan Rajendran, Jonathan K. Kummerfeld, Satinder Singh
Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks. CoRR (2021)
Qi Zhang, Edmund H. Durfee, Satinder Singh
Efficient Querying for Cooperative Probabilistic Commitments. AAAI (2021)
David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
On the Expressivity of Markov Reward. CoRR (2021)
Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions. CoRR (2021)
Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder Singh
Reward is enough for convex MDPs. CoRR (2021)
Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Options via Meta-Learned Subgoals. CoRR (2021)
Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
Pairwise Weights for Temporal Credit Assignment. CoRR (2021)
Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh
Proper Value Equivalence. CoRR (2021)
Tom Zahavy, André Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh
Discovering a set of policies for the worst case reward. ICLR (2021)
Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
Reinforcement Learning of Implicit and Explicit Control Flow Instructions. ICML (2021)
Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh
Bootstrapped Meta-Learning. CoRR (2021)
Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver
Discovering Reinforcement Learning Algorithms. CoRR (2020)
Qi Zhang, Edmund H. Durfee, Satinder Singh
Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement. AAAI (2020)
Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
A Self-Tuning Actor-Critic Algorithm. NeurIPS (2020)
Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvári, Satinder Singh, Benjamin Van Roy, Richard S. Sutton, David Silver, Hado van Hasselt
Behaviour Suite for Reinforcement Learning. ICLR (2020)
Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
What Can Learned Intrinsic Rewards Capture? ICML (2020)
Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
How Should an Agent Practice? AAAI (2020)
Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian M. Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
Learning to Play No-Press Diplomacy with Best Response Policy Iteration. NeurIPS (2020)
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments. CoRR (2020)
Zheng Wen, Doina Precup, Morteza Ibrahimi, André Barreto, Benjamin Van Roy, Satinder Singh
On Efficiency in Hierarchical Reinforcement Learning. NeurIPS (2020)
Christopher Grimm, André Barreto, Satinder Singh, David Silver
The Value Equivalence Principle for Model-Based Reinforcement Learning. CoRR (2020)
Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver
Discovering Reinforcement Learning Algorithms. NeurIPS (2020)
Qi Zhang, Edmund H. Durfee, Satinder Singh
Efficient Querying for Cooperative Probabilistic Commitments. CoRR (2020)
Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian M. Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
Learning to Play No-Press Diplomacy with Best Response Policy Iteration. CoRR (2020)
Zhongwen Xu, Hado Philip van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver
Meta-Gradient Reinforcement Learning with an Objective Discovered Online. NeurIPS (2020)
Zhongwen Xu, Hado van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver
Meta-Gradient Reinforcement Learning with an Objective Discovered Online. CoRR (2020)
Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
Self-Tuning Deep Reinforcement Learning. CoRR (2020)
Christopher Grimm, André Barreto, Satinder Singh, David Silver
The Value Equivalence Principle for Model-Based Reinforcement Learning. NeurIPS (2020)
Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
How Should an Agent Practice? CoRR (2019)
Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron C. Courville
No Press Diplomacy: Modeling Multi-Agent Gameplay. 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)
Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville
No-Press Diplomacy: Modeling Multi-Agent Gameplay. NeurIPS (2019)
Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvári, Satinder Singh, Benjamin Van Roy, Richard S. Sutton, David Silver, Hado van Hasselt
Behaviour Suite for Reinforcement Learning. CoRR (2019)
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem. CoRR (2019)
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. ICDM (2019)
Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Gregory Wayne, Satinder Singh, Doina Precup, Rémi Munos
Hindsight Credit Assignment. 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)
Christopher Grimm, Irina Higgins, André Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh
Disentangled Cumulants Help Successor Representations Transfer to New Tasks. CoRR (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick
Object-oriented state editing for HRL. CoRR (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)
Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh
What Can Learned Intrinsic Rewards Capture? CoRR (2019)
Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Greg Wayne, Satinder Singh, Doina Precup, Rémi Munos
Hindsight Credit Assignment. CoRR (2019)
Christopher Grimm, Satinder Singh
Learning Independently-Obtainable Reward Functions. CoRR (2019)
Zeyu Zheng, Junhyuk Oh, Satinder Singh
On Learning Intrinsic Rewards for Policy Gradient Methods. CoRR (2018)
Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos
Learning End-to-End Goal-Oriented Dialog with Multiple Answers. CoRR (2018)
Jiaxuan Wang, Ian Fox, Jonathan Skaza, Nick Linck, Satinder Singh, Jenna Wiens
The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA. CoRR (2018)
Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
Self-Imitation Learning. ICML (2018)
Vivek Veeriah, Junhyuk Oh, Satinder Singh
Many-Goals Reinforcement Learning. CoRR (2018)
Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
Self-Imitation Learning. CoRR (2018)
Zeyu Zheng, Junhyuk Oh, Satinder Singh
On Learning Intrinsic Rewards for Policy Gradient Methods. NeurIPS (2018)
Yijie Guo, Junhyuk Oh, Satinder Singh, Honglak Lee
Generative Adversarial Self-Imitation Learning. 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)
Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh, Lawrence C. An
Understanding and Predicting Empathic Behavior in Counseling Therapy. ACL (1) (2017)
Junhyuk Oh, Satinder Singh, Honglak Lee
Value Prediction Network. CoRR (2017)
Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh
Learning to Query, Reason, and Answer Questions On Ambiguous Texts. ICLR (Poster) (2017)
Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh, Lawrence C. An, Kathy J. Goggin, Delwyn Catley
Predicting Counselor Behaviors in Motivational Interviewing Encounters. EACL (1) (2017)
Junhyuk Oh, Satinder Singh, Honglak Lee
Value Prediction Network. NIPS (2017)
Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh, Lawrence C. An
Building a Motivational Interviewing Dataset. CLPsych@HLT-NAACL (2016)
Brent Callaghan, Satinder Singh
The Autofs Automounter. USENIX Summer (1993)