Reinforcement learning

16 May 2024

Papers citing "Reinforcement learning"

39 / 89 papers shown

Title
Minimum Risk Training for Neural Machine Translation Shiqi Shen Yong Cheng Zhongjun He W. He Hua Wu Maosong Sun Yang Liu 90 469 0 08 Dec 2015
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria Yinlam Chow Mohammad Ghavamzadeh Lucas Janson Marco Pavone 55 510 0 05 Dec 2015
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 70 1,611 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 198 3,781 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 131 7,590 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 191 13,174 0 09 Sep 2015
Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures Daniel R. Jiang Warrren B Powell 20 37 0 07 Sep 2015
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 60 404 0 17 Jul 2015
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret Haitham Bou-Ammar Rasul Tutunov Eric Eaton OffRL CLL 48 64 0 21 May 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 222 3,418 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 239 6,722 0 19 Feb 2015
Policy Gradient for Coherent Risk Measures Aviv Tamar Yinlam Chow Mohammad Ghavamzadeh Shie Mannor 38 117 0 13 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 815 149,474 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 280 20,491 0 10 Sep 2014
Algorithms for CVaR Optimization in MDPs Yinlam Chow Mohammad Ghavamzadeh 60 198 0 12 Jun 2014
Optimizing the CVaR via Sampling Aviv Tamar Yonatan Glassner Shie Mannor 48 186 0 15 Apr 2014
Variance-Constrained Actor-Critic Algorithms for Discounted and Average Reward MDPs Prashanth L.A. Mohammad Ghavamzadeh 37 69 0 25 Mar 2014
A Survey of Multi-Objective Sequential Decision-Making D. Roijers Peter Vamplew Shimon Whiteson Richard Dazeley 61 648 0 04 Feb 2014
Kalman Temporal Differences Matthieu Geist Olivier Pietquin 47 101 0 16 Jan 2014
Interactive Policy Learning through Confidence-Based Autonomy Sonia Chernova Manuela Veloso 124 279 0 15 Jan 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 68 1,157 0 31 Dec 2013
Risk-sensitive Reinforcement Learning Yun Shen Michael J. Tobia T. Sommer Klaus Obermayer 52 319 0 08 Nov 2013
PEGASUS: A Policy Search Method for Large MDPs and POMDPs A. Ng Michael I. Jordan 55 496 0 16 Jan 2013
Solving Factored MDPs with Continuous and Discrete Variables Carlos Guestrin Milos Hauskrecht Branislav Kveton 67 76 0 11 Jul 2012
Policy Gradients with Variance Related Risk Criteria Dotan Di Castro Aviv Tamar Shie Mannor 63 206 0 27 Jun 2012
Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods Gergely Neu Csaba Szepesvári 47 244 0 20 Jun 2012
Exploring compact reinforcement-learning representations with linear regression Thomas J. Walsh I. Szita Carlos Diuk Michael L. Littman OffRL 174 114 0 09 May 2012
PAC-Bayesian Inequalities for Martingales Yevgeny Seldin François Laviolette Nicolò Cesa-Bianchi John Shawe-Taylor P. Auer 57 127 0 31 Oct 2011
Learning Symbolic Models of Stochastic Domains L. Kaelbling H. Pasula L. S. Zettlemoyer 86 240 0 10 Oct 2011
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints Peter Geibel F. Wysotzki 73 317 0 09 Sep 2011
Learning to Coordinate Efficiently: A Model-based Approach Ronen I. Brafman Moshe Tennenholtz 35 43 0 26 Jun 2011
Bayesian multitask inverse reinforcement learning Christos Dimitrakakis Constantin Rothkopf BDL 53 106 0 18 Jun 2011
Efficient Solution Algorithms for Factored MDPs Carlos Guestrin D. Koller Ronald E. Parr Shobha Venkataraman 84 537 0 09 Jun 2011
Optimal Reinforcement Learning for Gaussian Systems Philipp Hennig 61 19 0 04 Jun 2011
Experiments with Infinite-Horizon, Policy-Gradient Estimation Jonathan Baxter Peter L. Bartlett Lex Weaver 53 171 0 03 Jun 2011
Infinite-Horizon Policy-Gradient Estimation Jonathan Baxter Peter L. Bartlett 70 808 0 03 Jun 2011
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage Craig Boutilier T. Dean S. Hanks 87 1,311 0 27 May 2011
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 267 2,935 0 28 Feb 2010
Learning from Logged Implicit Exploration Data Alexander L. Strehl John Langford Sham Kakade Lihong Li OffRL 104 254 0 27 Feb 2010