Results 241 to 250 of about 387,064 (296)
Adaptive motion planning for legged robots in unstructured terrain using deep reinforcement learning. [PDF]
Sci RepUddin MS.
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NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]
Sci RepYu X +6 more
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Intelligent Anti-Jamming Decision-Making Technology Based on Knowledge Graph and DQN. [PDF]
Sensors (Basel)Ni D +6 more
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An novel cloud task scheduling framework using hierarchical deep reinforcement learning for cloud computing. [PDF]
PLoS OneCui D, Peng Z, Li K, Li Q, He J, Deng X.
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Decision-Making in Repeated Games: Insights from Active Inference. [PDF]
Behav Sci (Basel)Yuan H, Wang L, Gao W, Tao T, Fan C.
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Hierarchical Reinforcement Learning
ACM Computing Surveys, 2021 Hierarchical Reinforcement Learning (HRL) enables autonomous decomposition of challenging long-horizon decision-making tasks into simpler subtasks. During the past years, the landscape of HRL research has grown profoundly, resulting in copious approaches.
Shubham Pateria +3 more
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Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning
IEEE transactions on intelligent transportation systems (Print), 2023Reinforcement learning (RL) has shown excellent performance in the sequential decision-making problem, where safety in the form of state constraints is of great significance in the design and application of RL.
Ziqing Gu +6 more
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IEEE Transactions on Power Systems, 2023
This paper considers the problem of distributed online economic dispatch (DOED) from sequential data using reinforcement learning. Learning operation behavior in high-dimension environments with constraints is a major challenge for the DOED of networked ...
Tianguang Lu +3 more
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This paper considers the problem of distributed online economic dispatch (DOED) from sequential data using reinforcement learning. Learning operation behavior in high-dimension environments with constraints is a major challenge for the DOED of networked ...
Tianguang Lu +3 more
semanticscholar +1 more source
Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials
IEEE Transactions on Artificial Intelligence, 2023Autonomous control in high-dimensional, continuous state spaces is a persistent and important challenge in the fields of robotics and artificial intelligence.
Adrian P. Pope +9 more
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