Preventing undesirable behavior of intelligent machines von Thomas, Philip S, Castro da Silva, Bruno, Barto, Andrew G, Giguere, Stephen, Brun, Yuriy, Brunskill, Emma

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Human-Like Rewards to Train a Reinforcement Learning Controller for Planar Arm Movement von Jagodnik, Kathleen M., Thomas, Philip S., van den Bogert, Antonie J., Branicky, Michael S., Kirsch, Robert F.

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Histone Deacetylase Inhibitor Impairs Plasminogen Activator Inhibitor-1 Expression via Inhibiting TNF-α-Activated MAPK/AP-1 Signaling Cascade von Hsiao, Che-Jen, Chen, Wei-Lin, Hsiao, George, Chung, Chi-Li, Hsiao, Shih-Hsin, Sheu, Joen-Rong

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Relationships between Plasma Micronutrients, Serum IgE, and Skin Test Reactivity and Asthma among School Children in Rural Southwest Nigeria von Arinola, Olatunbosun G., Adepoju, Adedayo, Oluwole, Oluwafemi, Olopade, Christopher O., Olopade, Olufunmilayo I., Adedokun, Babatunde O., Adu, Mary D.

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Double Loop Process: The Next Innovation Paradigm von Thomas, Philip S

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Novel Drugs Development for Cardio-/Cerebrovascular Diseases von Sheu, Joen-Rong, Thomas, Philip Aloysius, Cheng, Juei-Tang

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Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization von Brockhoff, Dimo, Zitzler, Eckart

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Low Variance Off-policy Evaluation with State-based Importance Sampling von Bossens, David M, Thomas, Philip S

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Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL von Bhatia, Abhinav, Thomas, Philip S, Zilberstein, Shlomo

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Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms von Ishibuchi, Hisao, Doi, Tsutomu, Nojima, Yusuke

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Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation von Chaudhari, Shreyas, Deshpande, Ameet, da Silva, Bruno Castro, Thomas, Philip S

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Amarogentin, a Secoiridoid Glycoside, Abrogates Platelet Activation through PLCγ2-PKC and MAPK Pathways von Yen, Ting-Lin, Lu, Wan-Jung, Lien, Li-Ming, Thomas, Philip Aloysius, Lee, Tzu-Yin, Chiu, Hou-Chang, Sheu, Joen-Rong, Lin, Kuan-Hung

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Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic Analysis von Moore, Jason H., White, Bill C.

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Position: Benchmarking is Limited in Reinforcement Learning Research von Jordan, Scott M, White, Adam, da Silva, Bruno Castro, White, Martha, Thomas, Philip S

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Is the Policy Gradient a Gradient? von Nota, Chris, Thomas, Philip S

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Low Variance Off-policy Evaluation with State-based Importance Sampling von Bossens, David M, Thomas, Philip S

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Towards Practical Mean Bounds for Small Samples von Phan, My, Thomas, Philip S, Learned-Miller, Erik

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Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs von Satija, Harsh, Thomas, Philip S, Pineau, Joelle, Laroche, Romain

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Optimization using Parallel Gradient Evaluations on Multiple Parameters von Chandak, Yash, Shankar, Shiv, Gandikota, Venkata, Thomas, Philip S, Mazumdar, Arya

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Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings von Runarsson, Thomas Philip, Beyer, Hans-Georg, Burke, Edmund, Merelo-Guervós, Juan J, Whitley, L. Darrell, Yao, Xin

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