Constrained markov decision process cmdp

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GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model [PDF]

Although deep reinforcement learning has demonstrated impressive achievements in controlling various autonomous systems, e.g., autonomous vehicles or humanoid robots, its inherent reliance on random exploration raises safety concerns in their real-world ...
Zhou, Zhehua +4 more
core

SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software. [PDF]

Sensors (Basel)
Wang Z, Chen J, Wei Z, Lin L, Tong G.
europepmc +1 more source

First passage of a Markov additive process and generalized Jordan chains [PDF]

In this paper we consider the first passage process of a spectrally negative Markov additive process (MAP). The law of this process is uniquely characterized by a certain matrix function, which plays a crucial role in fluctuation theory.
Michel Mandjes +3 more
core

Joint energy-aware task offloading and privacy protection in healthcare monitoring systems via deep reinforcement learning. [PDF]

Sci Rep
Zhang J, Hu Y, Shao M, Li X.
europepmc +1 more source

Towards AI-based precision rehabilitation via contextual model-based reinforcement learning. [PDF]

J Neuroeng Rehabil
Ye D, Luo H, Winstein C, Schweighofer N.
europepmc +1 more source

Lightweight Reinforcement Learning for Priority-Aware Spectrum Management in Vehicular IoT Networks. [PDF]

Sensors (Basel)
Iqbal A, Nauman A, Khurshaid T.
europepmc +1 more source

Resource Optimization for Multi-Unmanned Aerial Vehicle Formation Communication Based on an Improved Deep Q-Network. [PDF]