Scaling Up Reinforcement Learning without Sacrificing Optimality by Constraining Exploration /

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

Reinforcement Learning for active length control and hysteresis characterization of Shape Memory Alloys /
by: Kirkpatrick, Kenton C.
Published: (2010)

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

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

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

Deterrents and reinforcement : the psychology of insufficient reward /
by: Lawrence, Douglas H.
Published: (1962)

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)

Quasi-stochastic approximation and off-policy reinforcement learning : preprint /
by: Bernstein, Andrey
Published: (2019)

The effects of specificity of reinforcement on the performance of a novel fine motor task /
by: Bennett, Ian Charles, 1948-
Published: (1974)

Recent advances in reinforcement learning /
Published: (1996)

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

The effects of positive reinforcement, punishment, and positive reinforcement-punishment on the acquisition of a motor skill /
by: Vaughn, William Richey, 1931-
Published: (1975)

Multimodal learning using heterogeneous data /
Published: (2025)

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

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

Model-based reinforcement learning : from data to actions with Python-based toolbox /
by: Farsi, Milad, et al.
Published: (2023)

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

Robot Adaptation in Human-Robot Collaborative Workspace Using Reinforcement Learning /
by: Shah, Jay Kalpeshbhai
Published: (2023)

The informational and motivational influence of social reinforcement on motor performance /
by: Gill, Diane L.
Published: (1974)

Optimal control of perimeter patrol using reinforcement learning /
by: Walton, Zachary
Published: (2011)

The relationship between attention span, information retention, and satisfaction using various methods of reinforcement at an interpretive exhibit /
by: Horvat, Jane Miller
Published: (1983)

Multi-agent coordination : a reinforcement learning approach /
by: Sadhu, Arup Kumar, et al.
Published: (2021)

Statistical reinforcement learning : modern machine learning approaches /
by: Sugiyama, Masashi, 1974-
Published: (2015)

Foundations of learning classifier systems /
Published: (2005)

The effects of various reinforcement contingencies on a second grade physical education class /
by: Young, Richard Morrision, 1937-
Published: (1973)

Multi-agent Reinforcement Learning for Coordinated Production Scheduling /
by: Camp, Andrew David
Published: (2023)

Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
by: Gutman, Alex J., et al.
Published: (2021)

Reinforcement Learning (RL) in Python.
Published: (2017)

How one Google team built storytelling into analytics /
by: Zhu, Jiaxi
Published: (2025)

Applied machine learning for data science practitioners /
by: Subramanian, Vidya, 1978-
Published: (2025)

Downhole Intelligence for Drilling Systems Using Supervised and Deep Reinforcement Learning Techniques /
by: Vishnumolakala, Narendra
Published: (2023)

Scaling reinforcement learning to the unconstrained multi-agent domain /
by: Palmer, Victor
Published: (2010)

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

Reinforcement learning and stochastic optimization : a unified framework for sequential decisions /
by: Powell, Warren B., 1955-
Published: (2022)

Reinforcement learning and stochastic optimization : a unified framework for sequential decisions /
by: Powell, Warren B., 1955-
Published: (2022)

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