1.
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Regularized reinforcement learning with performance guarantees Milani Fard, Mahdi
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2.
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Classifying and recommending knowledge in reference documentation to improve API usability Chhetri, Yam
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3.
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An epistemic analysis of authentication Frydrychowicz, Maja
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4.
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Compressed predictive state representation: an efficient moment-method for sequence prediction and sequential decision-making Hamilton, William
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5.
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An algebraic approach to dynamic epistemic logic Phillips, Caitlin
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6.
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Extracting semantic information from Wikipedia using human computation and dimensionality reduction West, Robert
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7.
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Optimal time scales for reinforcement learning behaviour strategies Comanici, Gheorghe
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8.
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Unsupervised semantic perception, summarization, and autonomous exploration for robots in unstructured environments Girdhar, Yogesh
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9.
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Eliciting preferences sequentially using partially observable Markov decision processes Zawaideh, Zaid
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10.
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Proof theoretical foundations for constructive Description Logic Clément, Ian
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11.
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Learning approximate representations of partially observable systems Dinculescu, Monica
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12.
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Optimization techniques for distributed Verilog simulation Li, Lijun
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13.
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A Bayesian Framework for Online Parameter Learning in POMDPs Atrash, Amin
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14.
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Kinetic analysis and inter-subject registration of brain PET images Bieth, Marie
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15.
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The algebra of topological quantum computing Evans, Julia
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16.
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A mobile device based identity validation system for online social networks Shi, Yiwei
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17.
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Bridging the ontological gap between semantic web and the RESTful web services Jin, Yuan
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18.
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On the detection and prevention of consistency anomalies in multi-tier and cloud platforms Zellag, Kamal
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19.
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Bayesian reinforcement learning for POMDP-based dialogue systems Png, ShaoWei
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20.
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On planning, prediction and knowledge transfer in fully and partially observable Markov decision processes Castro Rivadeneira, Pablo Samuel
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