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62![Classification-based Policy Iteration with a Critic V. Gabillon1 , A. Lazaric1 , M. Ghavamzadeh1 & B. Scherrer2 1 2 INRIA Lille - Nord Europe, Team Sequel, Classification-based Policy Iteration with a Critic V. Gabillon1 , A. Lazaric1 , M. Ghavamzadeh1 & B. Scherrer2 1 2 INRIA Lille - Nord Europe, Team Sequel,](https://www.pdfsearch.io/img/c2e8badc88a0ac7bf5f2557004f534a0.jpg) | Add to Reading ListSource URL: victorgabillon.nfshost.comLanguage: English - Date: 2011-06-30 11:49:57
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63![LETTER doi:nature14236 Human-level control through deep reinforcement learning LETTER doi:nature14236 Human-level control through deep reinforcement learning](https://www.pdfsearch.io/img/d2743fa80679ce3b704426ae6d54e1ea.jpg) | Add to Reading ListSource URL: storage.googleapis.comLanguage: English - Date: 2016-01-26 06:53:21
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64![MDP Cheatsheet Reference Author: John Schulman (F) = facts that are a bit more technical 1 Markov Decision Process MDP Cheatsheet Reference Author: John Schulman (F) = facts that are a bit more technical 1 Markov Decision Process](https://www.pdfsearch.io/img/a581a881306a54ab1e088f4708364a6b.jpg) | Add to Reading ListSource URL: rll.berkeley.eduLanguage: English - Date: 2016-01-25 13:14:56
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65![Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Markov decision processes and partially observable Markov decision processes. 2. Value functions, Q functions. Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Markov decision processes and partially observable Markov decision processes. 2. Value functions, Q functions.](https://www.pdfsearch.io/img/f6a6888ddab440613edbaa57d3a0acba.jpg) | Add to Reading ListSource URL: www.stat.berkeley.eduLanguage: English - Date: 2014-11-25 12:45:37
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66![arXiv:1402.6763v1 [math.OC] 27 FebLinear Programming for Large-Scale Markov Decision Problems Yasin Abbasi-Yadkori Queensland University of Technology arXiv:1402.6763v1 [math.OC] 27 FebLinear Programming for Large-Scale Markov Decision Problems Yasin Abbasi-Yadkori Queensland University of Technology](https://www.pdfsearch.io/img/4b7d85a6fa8b2d1b131e968ebe87541e.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2014-02-27 20:30:05
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67![Deterministic MDPs with Adversarial Rewards and Bandit Feedback Raman Arora TTIC 6045 S. Kenwood Ave. Chicago, IL 60637, USA Deterministic MDPs with Adversarial Rewards and Bandit Feedback Raman Arora TTIC 6045 S. Kenwood Ave. Chicago, IL 60637, USA](https://www.pdfsearch.io/img/9995207bd7deaacee83f0af0b9f5873f.jpg) | Add to Reading ListSource URL: dept.stat.lsa.umich.eduLanguage: English - Date: 2012-09-12 18:50:24
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68![Rollout Allocation Strategies for Classification-based Policy Iteration Victor Gabillon Alessandro Lazaric Rollout Allocation Strategies for Classification-based Policy Iteration Victor Gabillon Alessandro Lazaric](https://www.pdfsearch.io/img/29d81118a5b4f9e0b201765e54ba2a5f.jpg) | Add to Reading ListSource URL: victorgabillon.nfshost.comLanguage: English - Date: 2010-07-01 09:47:14
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69![Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu](https://www.pdfsearch.io/img/ba90b224ecab76ff920eab5a3ca331f8.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2013-12-19 20:23:45
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70![approximate-mdps-notes.dvi approximate-mdps-notes.dvi](https://www.pdfsearch.io/img/fed15ebb0a8a1d05f72b96b2d75fb091.jpg) | Add to Reading ListSource URL: www.stat.berkeley.eduLanguage: English - Date: 2014-11-25 12:45:37
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