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Practical Reinforcement Learning: Develop self-evolving, intelligent agents with OpenAI Gym, Python and Java
Dr. Engr. S.M. Farrukh Akhtar
2017
2.0012 MB
R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
Dr. Sunil Kumar Chinnamgari
325 Pages201910.677 MB
Differential reinforcement of exercise by individuals with Prader-Willi Syndrome using calories as reinforcers /
Keefer, Nikki Lyn127 Pages20034.3 MB
Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers
Boris Defourny, Damien Ernst, Louis Wehenkel (auth.), Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko (eds.)291 Pages20086.239 MB
Training the Best Dog Ever: A 5-Week Program Using the Power of Positive Reinforcement
Larry Kay, Dawn Sylvia-Stasiewicz20127.843 MB
Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks: A Reinforcement Learning Perspective
Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu142 Pages20204.243 MB
Ambisonics: A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality
Franz Zotter, Matthias Frank223 Pages201910.837 MB
Reinforcement Learning Algorithms with Python: Learn, understand, and develop smart algorithms for addressing AI challenges
Andrea Lonza356 Pages201921.979 MB
Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)
Laura Graesser, Wah Loon Keng201927.846 MB
Bringing out the best in people: how to apply the astonishing power of positive reinforcement
Daniels, Aubrey C20164.017 MB
AN INVESTIGATION OF THE PROCESS OF CLIENT CENTERED THERAPY IN TERMS OF EXTINCTION AND REINFORCEMENT
BLAU, BENAMI117 Pages4.318 MB
Corrosion of reinforcement in concrete: monitoring, prevention and rehabilitation: papers from EUROCORR '97, Trondheim, Norway, 1997
European Federation of Corrosion.; Elsener, Bernhard; Mietz, J.; Polder, R226 Pages201755.964 MB
THE EFFECTIVENESS OF SECONDARY REINFORCEMENT AS A FUNCTION OF THE AMOUNT AND QUALITY OF FOOD INCENTIVE
HOPKINS, CHARLES OWEN63 Pages2.619 MB
PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily
Sherin Thomas, Sudhanshu Passi251 Pages20194.301 MB
Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R
Dangeti, Pratap439 Pages201716.983 MB
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