• 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 52 matches

• 2020
• 
  Lin Jia, Lijuan Huang, Zhijun Yan, Dianne J. Hall, Jiahe Song, David B. Paradice:
  The importance of policy to effective IM use and improved performance. Inf. Technol. People 33(1): 180-197 (2020)
• 
  Alberto Maria Metelli, Matteo Papini, Nico Montali, Marcello Restelli:
  Importance Sampling Techniques for Policy Optimization. J. Mach. Learn. Res. 21: 141:1-141:75 (2020)
• 
  Zhi Wang, Han-Xiong Li, Chunlin Chen:
  Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1870-1883 (2020)
• 
  Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney:
  Conditional Importance Sampling for Off-Policy Learning. AISTATS 2020: 45-55
• 
  Yao Liu, Pierre-Luc Bacon, Emma Brunskill:
  Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling. ICML 2020: 6184-6193
• 
  Jiawei Huang, Nan Jiang:
  From Importance Sampling to Doubly Robust Policy Gradient. ICML 2020: 4434-4443
• 
  Norman L. Tasfi, Miriam A. M. Capretz:
  Noisy Importance Sampling Actor-Critic: An Off-Policy Actor-Critic With Experience Replay. IJCNN 2020: 1-8
• 
  Ilja Kuzborskij, Claire Vernade, András György, Csaba Szepesvári:
  Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting. CoRR abs/2006.10460 (2020)
• 
  Alexandre Galashov, Jakub Sygnowski, Guillaume Desjardins, Jan Humplik, Leonard Hasenclever, Rae Jeong, Yee Whye Teh, Nicolas Heess:
  Importance Weighted Policy Learning and Adaption. CoRR abs/2009.04875 (2020)
• 
  Jacob Buckman, Carles Gelada, Marc G. Bellemare:
  The Importance of Pessimism in Fixed-Dataset Policy Optimization. CoRR abs/2009.06799 (2020)
• 2019
• 
  Tuyen Pham Le, Ngo Anh Vien, P. Marlith Jaramillo, TaeChoong Chung:
  Importance sampling policy gradient algorithms in reproducing kernel Hilbert space. Artif. Intell. Rev. 52(3): 2039-2059 (2019)
• 
  Josiah Hanna, Scott Niekum, Peter Stone:
  Importance Sampling Policy Evaluation with an Estimated Behavior Policy. ICML 2019: 2605-2613
• 
  Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo, Marcello Restelli:
  Optimistic Policy Optimization via Multiple Importance Sampling. ICML 2019: 4989-4999
• 
  Andrea Tirinzoni, Mattia Salvini, Marcello Restelli:
  Transfer of Samples in Policy Search via Multiple Importance Sampling. ICML 2019: 6264-6274
• 
  Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White:
  Importance Resampling for Off-policy Prediction. NeurIPS 2019: 1797-1807
• 
  Tengyang Xie, Yifei Ma, Yu-Xiang Wang:
  Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling. NeurIPS 2019: 9665-9675
• 
  Tengyang Xie, Yifei Ma, Yu-Xiang Wang:
  Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling. CoRR abs/1906.03393 (2019)
• 
  Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White:
  Importance Resampling for Off-policy Prediction. CoRR abs/1906.04328 (2019)
• 
  Marcin B. Tomczak, Dongho Kim, Peter Vrancx, Kee-Eung Kim:
  Policy Optimization Through Approximated Importance Sampling. CoRR abs/1910.03857 (2019)
• 
  Yao Liu, Pierre-Luc Bacon, Emma Brunskill:
  Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling. CoRR abs/1910.06508 (2019)
• 
  Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney:
  Conditional Importance Sampling for Off-Policy Learning. CoRR abs/1910.07479 (2019)
• 
  Jiawei Huang, Nan Jiang:
  From Importance Sampling to Doubly Robust Policy Gradient. CoRR abs/1910.09066 (2019)
• 2018
• 
  Ryo Iwaki, Hiroki Yokoyama, Minoru Asada:
  Incremental Estimation of Natural Policy Gradient with Relative Importance Weighting. IEICE Trans. Inf. Syst. 101-D(9): 2346-2355 (2018)
• 
  Eiji Uchibe:
  Efficient sample reuse in policy search by multiple importance sampling. GECCO 2018: 545-552
• 
  Shayan Doroudi, Philip S. Thomas, Emma Brunskill:
  Importance Sampling for Fair Policy Selection. IJCAI 2018: 5239-5243
• 
  Margarita Kotti, Vassilios Diakoloukas, Alexandros Papangelis, Michail Lagoudakis, Yannis Stylianou:
  A Case Study on the Importance of Belief State Representation for Dialogue Policy Management. INTERSPEECH 2018: 986-990
• 
  Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli:
  Policy Optimization via Importance Sampling. NeurIPS 2018: 5447-5459
• 
  Josiah Hanna, Scott Niekum, Peter Stone:
  Importance Sampling Policy Evaluation with an Estimated Behavior Policy. CoRR abs/1806.01347 (2018)
• 
  Aloïs Pourchot, Nicolas Perrin, Olivier Sigaud:
  Importance mixing: Improving sample reuse in evolutionary policy search methods. CoRR abs/1808.05832 (2018)
• 
  Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli:
  Policy Optimization via Importance Sampling. CoRR abs/1809.06098 (2018)

skipping 22 more matches