More from the Same Authors

• 2021 : Randomized Least Squares Policy Optimization »
  Haque Ishfaq · Zhuoran Yang · Andrei Lupu · Viet Nguyen · Lewis Liu · Riashat Islam · Zhaoran Wang · Doina Precup
• 2021 : Finite time analysis of temporal difference learning with linear function approximation: the tail averaged case »
  Gandharv Patil · Prashanth L.A. · Doina Precup
• 2022 : Towards Out-of-Distribution Adversarial Robustness »
  Adam Ibrahim · Charles Guille-Escuret · Ioannis Mitliagkas · Irina Rish · David Krueger · Pouya Bashivan
• 2022 Workshop: Decision Awareness in Reinforcement Learning »
  Evgenii Nikishin · Pierluca D'Oro · Doina Precup · Andre Barreto · Amir-massoud Farahmand · Pierre-Luc Bacon
• 2022 Poster: Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error »
  Scott Fujimoto · David Meger · Doina Precup · Ofir Nachum · Shixiang Gu
• 2022 Spotlight: Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error »
  Scott Fujimoto · David Meger · Doina Precup · Ofir Nachum · Shixiang Gu
• 2022 Poster: Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification »
  Leo Schwinn · Leon Bungert · An Nguyen · René Raab · Falk Pulsmeyer · Doina Precup · Bjoern Eskofier · Dario Zanca
• 2022 Poster: A Temporal-Difference Approach to Policy Gradient Estimation »
  Samuele Tosatto · Andrew Patterson · Martha White · A. Mahmood
• 2022 Poster: Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods »
  Yi Wan · Ali Rahimi-Kalahroudi · Janarthanan Rajendran · Ida Momennejad · Sarath Chandar · Harm van Seijen
• 2022 Spotlight: Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods »
  Yi Wan · Ali Rahimi-Kalahroudi · Janarthanan Rajendran · Ida Momennejad · Sarath Chandar · Harm van Seijen
• 2022 Spotlight: Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification »
  Leo Schwinn · Leon Bungert · An Nguyen · René Raab · Falk Pulsmeyer · Doina Precup · Bjoern Eskofier · Dario Zanca
• 2022 Spotlight: A Temporal-Difference Approach to Policy Gradient Estimation »
  Samuele Tosatto · Andrew Patterson · Martha White · A. Mahmood
• 2022 Poster: Towards Scaling Difference Target Propagation by Learning Backprop Targets »
  Maxence ERNOULT · Fabrice Normandin · Abhinav Moudgil · Sean Spinney · Eugene Belilovsky · Irina Rish · Blake Richards · Yoshua Bengio
• 2022 Spotlight: Towards Scaling Difference Target Propagation by Learning Backprop Targets »
  Maxence ERNOULT · Fabrice Normandin · Abhinav Moudgil · Sean Spinney · Eugene Belilovsky · Irina Rish · Blake Richards · Yoshua Bengio
• 2021 : Panel Discussion1 »
  Razvan Pascanu · Irina Rish
• 2021 Poster: Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer »
  Seungwon Lee · Sima Behpour · Eric Eaton
• 2021 Spotlight: Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer »
  Seungwon Lee · Sima Behpour · Eric Eaton
• 2021 Poster: Randomized Exploration in Reinforcement Learning with General Value Function Approximation »
  Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang
• 2021 Spotlight: Randomized Exploration in Reinforcement Learning with General Value Function Approximation »
  Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang
• 2021 Poster: Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks »
  Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
• 2021 Poster: Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards »
  Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
• 2021 Poster: A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation »
  Scott Fujimoto · David Meger · Doina Precup
• 2021 Spotlight: A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation »
  Scott Fujimoto · David Meger · Doina Precup
• 2021 Spotlight: Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards »
  Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
• 2021 Spotlight: Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks »
  Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
• 2021 Poster: Preferential Temporal Difference Learning »
  Nishanth Anand · Doina Precup
• 2021 Spotlight: Preferential Temporal Difference Learning »
  Nishanth Anand · Doina Precup
• 2020 : QA for invited talk 5 White »
  Martha White
• 2020 : Invited talk 5 White »
  Martha White
• 2020 : Q&A with Irina Rish »
  Irina Rish · Shagun Sodhani · Sarath Chandar
• 2020 : Invited Talk: Lifelong Learning: Towards Broad and Robust AI by Irina Rish »
  Irina Rish
• 2020 Workshop: 4th Lifelong Learning Workshop »
  Shagun Sodhani · Sarath Chandar · Balaraman Ravindran · Doina Precup
• 2020 : An Off-policy Policy Gradient Theorem: A Tale About Weightings - Martha White »
  Martha White
• 2020 : Speaker Panel »
  Csaba Szepesvari · Martha White · Sham Kakade · Gergely Neu · Shipra Agrawal · Akshay Krishnamurthy
• 2020 Poster: Gradient Temporal-Difference Learning with Regularized Corrections »
  Sina Ghiassian · Andrew Patterson · Shivam Garg · Dhawal Gupta · Adam White · Martha White
• 2020 Poster: Interference and Generalization in Temporal Difference Learning »
  Emmanuel Bengio · Joelle Pineau · Doina Precup
• 2020 Poster: Invariant Causal Prediction for Block MDPs »
  Amy Zhang · Clare Lyle · Shagun Sodhani · Angelos Filos · Marta Kwiatkowska · Joelle Pineau · Yarin Gal · Doina Precup
• 2020 Poster: Selective Dyna-style Planning Under Limited Model Capacity »
  Zaheer Abbas · Samuel Sokota · Erin Talvitie · Martha White
• 2020 Poster: Optimizing for the Future in Non-Stationary MDPs »
  Yash Chandak · Georgios Theocharous · Shiv Shankar · Martha White · Sridhar Mahadevan · Philip Thomas
• 2020 : Mentoring Panel: Doina Precup, Deborah Raji, Anima Anandkumar, Angjoo Kanazawa and Sinead Williamson (moderator). »
  Doina Precup · Inioluwa Raji · Angjoo Kanazawa · Sinead A Williamson · Animashree Anandkumar
• 2020 : Invited Talk: Doina Precup on Building Knowledge for AI Agents with Reinforcement Learning »
  Doina Precup
• 2019 Workshop: Exploration in Reinforcement Learning Workshop »
  Benjamin Eysenbach · Benjamin Eysenbach · Surya Bhupatiraju · Shixiang Gu · Harrison Edwards · Martha White · Pierre-Yves Oudeyer · Kenneth Stanley · Emma Brunskill
• 2019 Workshop: Workshop on Multi-Task and Lifelong Reinforcement Learning »
  Sarath Chandar · Shagun Sodhani · Khimya Khetarpal · Tom Zahavy · Daniel J. Mankowitz · Shie Mannor · Balaraman Ravindran · Doina Precup · Chelsea Finn · Abhishek Gupta · Amy Zhang · Kyunghyun Cho · Andrei A Rusu · Facebook Rob Fergus
• 2019 : Networking Lunch (provided) + Poster Session »
  Abraham Stanway · Alex Robson · Aneesh Rangnekar · Ashesh Chattopadhyay · Ashley Pilipiszyn · Benjamin LeRoy · Bolong Cheng · Ce Zhang · Chaopeng Shen · Christian Schroeder · Christian Clough · Clement DUHART · Clement Fung · Cozmin Ududec · Dali Wang · David Dao · di wu · Dimitrios Giannakis · Dino Sejdinovic · Doina Precup · Duncan Watson-Parris · Gege Wen · George Chen · Gopal Erinjippurath · Haifeng Li · Han Zou · Herke van Hoof · Hillary A Scannell · Hiroshi Mamitsuka · Hongbao Zhang · Jaegul Choo · James Wang · James Requeima · Jessica Hwang · Jinfan Xu · Johan Mathe · Jonathan Binas · Joonseok Lee · Kalai Ramea · Kate Duffy · Kevin McCloskey · Kris Sankaran · Lester Mackey · Letif Mones · Loubna Benabbou · Lynn Kaack · Matthew Hoffman · Mayur Mudigonda · Mehrdad Mahdavi · Michael McCourt · Mingchao Jiang · Mohammad Mahdi Kamani · Neel Guha · Niccolo Dalmasso · Nick Pawlowski · Nikola Milojevic-Dupont · Paulo Orenstein · Pedram Hassanzadeh · Pekka Marttinen · Ramesh Nair · Sadegh Farhang · Samuel Kaski · Sandeep Manjanna · Sasha Luccioni · Shuby Deshpande · Soo Kim · Soukayna Mouatadid · Sunghyun Park · Tao Lin · Telmo Felgueira · Thomas Hornigold · Tianle Yuan · Tom Beucler · Tracy Cui · Volodymyr Kuleshov · Wei Yu · yang song · Ydo Wexler · Yoshua Bengio · Zhecheng Wang · Zhuangfang Yi · Zouheir Malki
• 2019 Poster: Dead-ends and Secure Exploration in Reinforcement Learning »
  Mehdi Fatemi · Shikhar Sharma · Harm van Seijen · Samira Ebrahimi Kahou
• 2019 Oral: Dead-ends and Secure Exploration in Reinforcement Learning »
  Mehdi Fatemi · Shikhar Sharma · Harm van Seijen · Samira Ebrahimi Kahou
• 2019 Poster: Off-Policy Deep Reinforcement Learning without Exploration »
  Scott Fujimoto · David Meger · Doina Precup
• 2019 Oral: Off-Policy Deep Reinforcement Learning without Exploration »
  Scott Fujimoto · David Meger · Doina Precup
• 2018 Poster: Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control »
  Yangchen Pan · Amir-massoud Farahmand · Martha White · Saleh Nabi · Piyush Grover · Daniel Nikovski
• 2018 Oral: Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control »
  Yangchen Pan · Amir-massoud Farahmand · Martha White · Saleh Nabi · Piyush Grover · Daniel Nikovski
• 2018 Poster: Improving Regression Performance with Distributional Losses »
  Ehsan Imani · Martha White
• 2018 Poster: Convergent Tree Backup and Retrace with Function Approximation »
  Ahmed Touati · Pierre-Luc Bacon · Doina Precup · Pascal Vincent
• 2018 Oral: Improving Regression Performance with Distributional Losses »
  Ehsan Imani · Martha White
• 2018 Oral: Convergent Tree Backup and Retrace with Function Approximation »
  Ahmed Touati · Pierre-Luc Bacon · Doina Precup · Pascal Vincent
• 2017 : Achieving Above-Human Performance on Ms. Pac-Man by Reward Decomposition »
  Harm van Seijen
• 2017 Workshop: Reinforcement Learning Workshop »
  Doina Precup · Balaraman Ravindran · Pierre-Luc Bacon