Q-learning

Watkins, Christopher J. C. H., Dayan, Peter·1992·Machine Learning

Cited by (113)

Items 101–113 of 113

  1. Predictive Representations: Building Blocks of Intelligence
    Carvalho, Wilka, Tomov, Momchil S., de Cothi, William, Barry, Caswell, Gershman, Samuel J. · 2024 · Neural Computation
  2. Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic Congestion
    Gueriau, Maxime, Cugurullo, Federico, Acheampong, Ransford A., Dusparic, Ivana · 2020 · IEEE Intelligent Transportation Systems Magazine
  3. A New Anti-Jamming Strategy Based on Deep Reinforcement Learning for MANET
    Xu, Yingying, Lei, Ming, Li, Min, Zhao, Minjian, Hu, Bing · 2019 · 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
  4. Multi-Agent Risks from Advanced AI
    Hammond, Lewis, Chan, Alan, Clifton, Jesse, Hoelscher-Obermaier, Jason, Khan, Akbir, McLean, Euan, Smith, Chandler, Barfuss, Wolfram, Foerster, Jakob, Gavenčiak, Tomáš et al. · 2025 · arXiv
  5. Optimising residential electric vehicle charging under renewable energy: Multi‐agent learning in software simulation and hardware‐in‐the‐loop evaluation
    Marinescu, Andrei, Taylor, Adam, Clarke, Siobhán, Serban, Ioan, Marinescu, Corneliu · 2019 · International Journal of Energy Research
  6. Interpretable Goal-based Prediction and Planning for Autonomous Driving
    Albrecht, Stefano V., Brewitt, Cillian, Wilhelm, John, Gyevnar, Balint, Eiras, Francisco, Dobre, Mihai, Ramamoorthy, Subramanian · 2021 · 2021 IEEE International Conference on Robotics and Automation (ICRA)
  7. Investigating the impact of direct punishment on the emergence of cooperation in multi-agent reinforcement learning systems
    Dasgupta, Nayana, Musolesi, Mirco · 2025 · Autonomous Agents and Multi-Agent Systems
  8. Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts
    Colas, Jaron T., O’Doherty, John P., Grafton, Scott T. · 2024 · PLOS Computational Biology
  9. Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
    Qi, Biqing, Zhang, Kaiyan, Tian, Kai, Li, Haoxiang, Chen, Zhang-Ren, Zeng, Sihang, Hua, Ermo, Jinfang, Hu, Zhou, Bowen · 2024 · arXiv
  10. Data-Efficient Learning-Based Iterative Optimization Method With Time-Varying Prediction Horizon for Multiagent Collaboration
    Wang, Bowen, Gong, Xinle, Wang, Yafei, Xu, Rongtao, Huang, Hongcheng · 2025 · IEEE Internet of Things Journal
  11. Memory in the Age of AI Agents
    Hu, Yuyang, Liu, Shichun, Yue, Yanwei, Zhang, Guibin, Liu, Boyang, Zhu, Fangyi, Lin, Jiahang, Guo, Honglin, Dou, Shihan, Xi, Zhiheng et al. · 2025 · arXiv
  12. MAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent Systems
    Xiong, Wenjun, Zhou, Yijin, Wang, Jiaqian, Gu, Shangding, Tang, Bo, Li, Zhiyu, Xiong, Feiyu, Wen, Ying, Wen, Muning · 2026 · arXiv
  13. MARFT: Multi-Agent Reinforcement Fine-Tuning
    Liao, Junwei, Wen, Muning, Wang, Jun, Zhang, Weinan · 2025 · arXiv