Browsing Computer Science and Automation (CSA) by Subject "Reinforcement learning"

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Algorithms for Challenges to Practical Reinforcement Learning

Sindhu, P R

Reinforcement learning (RL) in real world applications faces major hurdles - the foremost being safety of the physical system controlled by the learning agent and the varying environment conditions in which the autonomous ...
Decision Making under Uncertainty : Reinforcement Learning Algorithms and Applications in Cloud Computing, Crowdsourcing and Predictive Analytics

John, Indu

In this thesis, we study both theoretical and practical aspects of decision making, with a focus on reinforcement learning based methods. Reinforcement learning (RL) is a form of semi-supervised learning in which the agent ...
Sequential Decision Making with Risk, Offline Data and External Influence: Bandits and Reinforcement Learning

Ayyagari, Ranga Shaarad

Reinforcement Learning (RL) serves as a foundational framework for addressing sequential decision-making problems under uncertainty. In recent years, extensive research in this domain has led to significant advancements ...