Results 51 to 60 of about 6,813,126 (333)
Q-learning based strategy analysis of cyber-physical systems considering unequal cost
Intelligent and Converged Networks, 2023 This paper proposes a cyber security strategy for cyber-physical systems (CPS) based on Q-learning under unequal cost to obtain a more efficient and low-cost cyber security defense strategy with misclassification interference.
Xin Chen +5 more
doaj +1 more source
Q-LVS: A Q-Learning-based Algorithm for Video Streaming in Peer-to-Peer Networks Considering a Token-Based Incentive Mechanism [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Peer-to-peer video streaming has reached great attention during recent years. Video streaming in peer-to-peer networks is a good way to stream video on the Internet due to the high scalability, high video quality, and low bandwidth requirements.
Z. Imanimehr
doaj +1 more source
IEEE Access, 2023 The current application of control theory is commonly carried out in systems with a model or known system dynamics. However, in practice this is a formidable task to achieve as not all state information can be known. The use of the Output Feedback (OPFB)
Adi Novitarini Putri +3 more
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Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning [PDF]
, 2018 This paper concerns automated vehicles negotiating with other vehicles, typically human driven, in crossings with the goal to find a decision algorithm by learning typical behaviors of other vehicles.
Ali, Mohammad +4 more
core +2 more sources
Q-Learning Algorithms: A Comprehensive Classification and Applications
IEEE Access, 2019 Q-learning is arguably one of the most applied representative reinforcement learning approaches and one of the off-policy strategies. Since the emergence of Q-learning, many studies have described its uses in reinforcement learning and artificial ...
Beakcheol Jang +3 more
semanticscholar +1 more source
Assessing the Potential of Classical Q-learning in General Game Playing [PDF]
, 2018 After the recent groundbreaking results of AlphaGo and AlphaZero, we have seen strong interests in deep reinforcement learning and artificial general intelligence (AGI) in game playing.
CB Browne +12 more
core +3 more sources
OPTIMIZING QOS IN SELF ORGANIZING HETEROGENEOUS WIRELESS CELLULAR NETWORK USING FIREFLY ALGORITHM
ICTACT Journal on Communication Technology, 2022 Capacity and energy efficiency are crucial for next-generation wireless networks. Due to the dense deployment of base stations (BSs) in a heterogeneous network (HetNets), the consumption is from 60% to 80% of the total energy causing accentuated costs ...
Gajanan Uttam Patil +1 more
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Advances in Neural Information Processing Systems 37Q-learning is widely used algorithm in reinforcement learning community. Under the lookup table setting, its convergence is well established. However, its behavior is known to be unstable with the linear function approximation case. This paper develops a new Q-learning algorithm that converges when linear function approximation is used.
Lim, Han-Dong, Lee, Donghwan
openaire +2 more sources
Frontiers in Cell and Developmental Biology, 2022 Calculating and predicting drug-target interactions (DTIs) is a crucial step in the field of novel drug discovery. Nowadays, many models have improved the prediction performance of DTIs by fusing heterogeneous information, such as drug chemical structure
Jiacheng Sun +14 more
doaj +1 more source
Electronic Research Archive, 2022 This paper considers the maneuvering penetration methods of missile which do not know the intercepting strategies of the interceptor beforehand. Based on reinforcement learning, the online intelligent maneuvering penetration methods of missile are ...
Yaokun Wang +4 more
doaj +1 more source