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CellMigrationGym: a data-driven framework utilizing deep reinforcement learning to unravel mechanisms of cell migration. [PDF]

BMC Proc
Wang D, Yang J, Wang Z, Xu Y, Bao Z.
europepmc   +1 more source

Automated detection of corruption reports in text via deep reinforcement learning. [PDF]

Sci Rep
Xiao Q.
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Reward design and hyperparameter tuning for generalizable deep reinforcement learning agents in autonomous racing. [PDF]

Sci Rep
Kunda NSS, Kc P, Pandey M, Kumaar AAN.
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A humanoid control strategy based on deep reinforcement learning for enhanced comfort in lower limb rehabilitation robots. [PDF]

Sci Rep
Jin Y, Zhang J, Li W, Yu J, Wang Z, Sun S.   +5 more
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DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]

Sci Rep
Neelima S, Sree SR, Ramakrishnaiah N.
europepmc   +1 more source

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Deep Reinforcement Learning

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023
Deep Reinforcement Learning (DRL) is a powerful technique for learning policies for complex decision-making tasks. In this paper, we provide an overview of DRL, including its basic components, key algorithms and techniques, and applications in areas s.a.
Sahil Sharma, A. Srinivas, Balaraman Ravindran   +2 more
semanticscholar   +2 more sources