• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 166 matches

• 2021
• 
  David Silver, Satinder Singh, Doina Precup, Richard S. Sutton:
  Reward is enough. Artif. Intell. 299: 103535 (2021)
• 
  Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver:
  The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. AAAI 2021: 7160-7168
• 
  Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa:
  Expected Eligibility Traces. AAAI 2021: 9997-10005
• 
  Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt:
  Muesli: Combining Improvements in Policy Optimization. ICML 2021: 4214-4226
• 
  Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Mohammadamin Barekatain, Simon Schmitt, David Silver:
  Learning and Planning in Complex Action Spaces. ICML 2021: 4476-4486
• 
  Gregory Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado Philip van Hasselt, David Silver:
  Self-Consistent Models and Values. NeurIPS 2021: 1111-1125
• 
  Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh:
  Proper Value Equivalence. NeurIPS 2021: 7773-7786
• 
  Julian Schrittwieser, Thomas Hubert, Amol Mandhane, Mohammadamin Barekatain, Ioannis Antonoglou, David Silver:
  Online and Offline Reinforcement Learning by Planning with a Learned Model. NeurIPS 2021: 27580-27591
• 
  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. NeurIPS 2021: 29861-29873
• 
  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 abs/2102.06741 (2021)
• 
  Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt:
  Muesli: Combining Improvements in Policy Optimization. CoRR abs/2104.06159 (2021)
• 
  Julian Schrittwieser, Thomas Hubert, Amol Mandhane, Mohammadamin Barekatain, Ioannis Antonoglou, David Silver:
  Online and Offline Reinforcement Learning by Planning with a Learned Model. CoRR abs/2104.06294 (2021)
• 
  Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Mohammadamin Barekatain, Simon Schmitt, David Silver:
  Learning and Planning in Complex Action Spaces. CoRR abs/2104.06303 (2021)
• 
  Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh:
  Proper Value Equivalence. CoRR abs/2106.10316 (2021)
• 
  André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan J. Hunt, Shibl Mourad, David Silver, Doina Precup:
  The Option Keyboard: Combining Skills in Reinforcement Learning. CoRR abs/2106.13105 (2021)
• 
  Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh:
  Bootstrapped Meta-Learning. CoRR abs/2109.04504 (2021)
• 
  Gregory Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado van Hasselt, David Silver:
  Self-Consistent Models and Values. CoRR abs/2110.12840 (2021)
• 2020
• 
  Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis:
  Improved protein structure prediction using potentials from deep learning. Nat. 577(7792): 706-710 (2020)
• 
  André Barreto, Shaobo Hou, Diana Borsa, David Silver, Doina Precup:
  Fast reinforcement learning with generalized policy updates. Proc. Natl. Acad. Sci. USA 117(48): 30079-30087 (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: 11436-11446
• 
  Christopher Grimm, André Barreto, Satinder Singh, David Silver:
  The Value Equivalence Principle for Model-Based Reinforcement Learning. NeurIPS 2020
• 
  Arthur Guez, Fabio Viola, Theophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess:
  Value-driven Hindsight Modelling. NeurIPS 2020
• 
  Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver:
  Discovering Reinforcement Learning Algorithms. NeurIPS 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
• 
  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
• 
  Arthur Guez, Fabio Viola, Théophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess:
  Value-driven Hindsight Modelling. CoRR abs/2002.08329 (2020)
• 
  Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
  Self-Tuning Deep Reinforcement Learning. CoRR abs/2002.12928 (2020)
• 
  Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver:
  The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. CoRR abs/2006.02243 (2020)
• 
  Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa:
  Expected Eligibility Traces. CoRR abs/2007.01839 (2020)

skipping 136 more matches