„Reinforcement Learning“

Suchergebnisse

4.414 Treffer

• Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation
  Zhong, Shan ; Liu, Quan ; Zhang, Zongzhang ; Fu, Qiming
• Improvement of the LPWAN AMI backhaul’s latency thanks to reinforcement learning algorithms
  Bonnefoi, Rémi ; Moy, Christophe ; Palicot, Jacques
• ACE-RL-Checkers: decision-making adaptability through integration of automatic case elicitation, reinforcement learning, and sequential pattern mining
  Neto, Henrique Castro ; Julia, Rita Maria Silva
• Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval
  Wei, Jingjing ; Liao, Xiangwen ; Zheng, Houdong ; Chen, Guolong ; Cheng, Xueqi
• RLPAS: Reinforcement Learning-based Proactive Auto-Scaler for Resource Provisioning in Cloud Environment
  Bibal Benifa, J. V. ; Dejey, D.
• Improving selection strategies in zeroth-level classifier systems based on average reward reinforcement learning
  Zang, Zhaoxiang ; Li, Zhao ; Dan, Zhiping ; Wang, Junying
• Artificial Intelligence – 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers
  Verheij, Bart ; Wiering, Marco 2018 Springer International Publishing
• Wavelet reduced order observer based adaptive tracking control for a class of uncertain nonlinear systems using reinforcement learning
  Sharma, Manish ; Verma, Ajay
• Deep Reinforcement Learning – Frontiers of Artificial Intelligence
  2019 Springer Singapore
• From Goals to Habits in Alcohol Dependence: Psychological and Computational Investigations
  Sebold, Miriam ; Kathmann, Norbert ; Heinz, Andreas ; Diekhof, Esther 2017 Humboldt-Universität zu Berlin
• Levodopa does not affect expression of reinforcement learning in older adults
  Grogan, J. P. ; Isotalus, H. K. ; Howat, A. ; Irigoras Izagirre, N. ; Knight, L. E. ; Coulthard, E. J.
• A method for model selection using reinforcement learning when viewing design as a sequential decision process
  Chhabra, Jaskanwal P. S. ; Warn, Gordon P.
• Multi-objective safe reinforcement learning – The relationship between multi-objective reinforcement learning and safe reinforcement learning
  Horie, Naoto ; Matsui, Tohgoroh ; Moriyama, Koichi ; Mutoh, Atsuko ; Inuzuka, Nobuhiro
• Using a Self-Instructional Package to Train Groups to Implement Reinforcement Strategies
  Luna, Odessa ; Nuhu, Nadratu N. ; Palmier, Jessica ; Brestan-Knight, Elizabeth ; Rapp, John T.
• TOWARDS CONTINUOUS CONTROL FOR MOBILE ROBOT NAVIGATION: A REINFORCEMENT LEARNING AND SLAM BASED APPROACH
  Mustafa, K. A. A. ; Botteghi, N. ; Sirmacek, B. ; Poel, M. ; Stramigioli, S.
• Review on use of Reinforcement Learning in Artificial Intelligence
  Samieiyeganeh, Mehdi ; Bahraminikoo, Parisa ; Praveen Babu, G. 2012 GRIN Verlag
• Progressive Learning of Topic Modeling Parameters : A Visual Analytics Framework
  El-Assady, Mennatallah ; Sevastjanova, Rita ; Sperrle, Fabian ; Keim, Daniel ; Collins, Christopher 2018 KOPS Universität Konstanz
• Efficient reinforcement learning using Gaussian processes
  Deisenroth, Marc Peter 2010 KIT Scientific Publ.
• A Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network
  Solanki, Jagrut 2014 GRIN Verlag
• Deep Reinforcement Learning State of the art
  Fenjiro, Youssef 2019 Scholars' Press