Statistical reinforcement learning : modern machine learning approaches /

Reinforcement and systemic machine learning for decision making /
by: Kulkarni, Parag
Published: (2012)

Reinforcement and systemic machine learning for decision making /
by: Kulkarni, Parag
Published: (2012)

Distributional reinforcement learning /
by: Bellemare, Marc G., et al.
Published: (2023)

Training a reinforcement learning agent to play soccer (football).
Published: (2020)

Multi-agent machine learning : a reinforcement approach /
by: Schwartz, Howard M.
Published: (2014)

Reinforcement learning for cyber-physical systems with cybersecurity case studies /
by: Li, Chong, 1985-, et al.
Published: (2019)

Introduction to statistical machine learning /
by: Sugiyama, Masashi
Published: (2016)

Foundations of learning classifier systems /
Published: (2005)

Adaptive representations for reinforcement learning /
by: Whiteson, Shimon
Published: (2010)

Machine learning from weak supervision : an empirical risk minimization approach /
by: Sugiyama, Masashi, 1974-
Published: (2022)

Reinforcement learning : an introduction /
by: Sutton, Richard S.
Published: (2018)

Reinforcement learning : an introduction /
by: Sutton, Richard S.
Published: (1998)

Reinforcement learning : an introduction /
by: Sutton, Richard S., et al.
Published: (2018)

Machine learning in non-stationary environments : introduction to covariate shift adaptation /
by: Sugiyama, Masashi, 1974-
Published: (2012)

Foundations of learning classifier systems /
Published: (2005)

Learning, networks and statistics /
Published: (1997)

Machine learning in non-stationary environments : introduction to covariate shift adaptation /
by: Sugiyama, Masashi, 1974-
Published: (2012)

Reinforcement learning for finance : solve problems in finance with CNN and RNN using the TensorFlow library /
by: Ahlawat, Samit
Published: (2023)

A friendly introduction to deep reinforcement learning and policy gradients.
Published: (2021)

Kyōka gakushū hen /
by: Saitō, Kōki, 1984-
Published: (2022)

Optimization for machine learning /
Published: (2012)

Multi-agent reinforcement learning : foundations and modern approaches /
by: Albrecht, Stefano V., et al.
Published: (2024)

Machine learning for materials discovery : numerical recipes and practical applications /
by: Krishnan, N. M. Anoop, et al.
Published: (2024)

Machine learning for materials discovery : numerical recipes and practical applications /
by: Krishnan, N. M. Anoop, et al.
Published: (2024)

Recent advances in reinforcement learning /
Published: (1996)

Why machines learn : the elegant math behind modern AI /
by: Ananthaswamy, Anil
Published: (2024)

Recent advances in reinforcement learning : 8th European workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008 : revised and selected papers /
Published: (2008)

Optimization for machine learning /
Published: (2012)

Supervised learning : mathematical foundations and real-world applications /
by: Chakrabarty, Dalia
Published: (2025)

Deep Reinforcement Learning /
by: Plaat, Aske
Published: (2022)

Modern deep learning for tabular data : novel approaches to common modeling problems /
by: Ye, Andre, et al.
Published: (2023)

Reinforcement learning for adaptive dialogue systems : a data-driven methodology for dialogue management and natural language generation /
by: Rieser, Verena
Published: (2011)

Reinforcement learning for cyber operations : applications of artificial intelligence for penetration testing /
by: Rahman, Abdul (Executive)
Published: (2025)

Mathematics for machine learning /
by: Deisenroth, Marc Peter, et al.
Published: (2020)

Advances in learning theory : methods, models and applications /
Published: (2003)

Deep learning, reinforcement learning, and the rise of intelligent systems /
Published: (2024)