Q-learning
Watkins, Christopher J. C. H., Dayan, Peter·1992·Machine Learning
Cited by (113)
Items 101–113 of 113
- Predictive Representations: Building Blocks of IntelligenceCarvalho, Wilka, Tomov, Momchil S., de Cothi, William, Barry, Caswell, Gershman, Samuel J. · 2024 · Neural Computation
- Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic CongestionGueriau, Maxime, Cugurullo, Federico, Acheampong, Ransford A., Dusparic, Ivana · 2020 · IEEE Intelligent Transportation Systems Magazine
- A New Anti-Jamming Strategy Based on Deep Reinforcement Learning for MANETXu, Yingying, Lei, Ming, Li, Min, Zhao, Minjian, Hu, Bing · 2019 · 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
- Multi-Agent Risks from Advanced AIHammond, Lewis, Chan, Alan, Clifton, Jesse, Hoelscher-Obermaier, Jason, Khan, Akbir, McLean, Euan, Smith, Chandler, Barfuss, Wolfram, Foerster, Jakob, Gavenčiak, Tomáš et al. · 2025 · arXiv
- Optimising residential electric vehicle charging under renewable energy: Multi‐agent learning in software simulation and hardware‐in‐the‐loop evaluationMarinescu, Andrei, Taylor, Adam, Clarke, Siobhán, Serban, Ioan, Marinescu, Corneliu · 2019 · International Journal of Energy Research
- Interpretable Goal-based Prediction and Planning for Autonomous DrivingAlbrecht, Stefano V., Brewitt, Cillian, Wilhelm, John, Gyevnar, Balint, Eiras, Francisco, Dobre, Mihai, Ramamoorthy, Subramanian · 2021 · 2021 IEEE International Conference on Robotics and Automation (ICRA)
- Investigating the impact of direct punishment on the emergence of cooperation in multi-agent reinforcement learning systemsDasgupta, Nayana, Musolesi, Mirco · 2025 · Autonomous Agents and Multi-Agent Systems
- Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexpertsColas, Jaron T., O’Doherty, John P., Grafton, Scott T. · 2024 · PLOS Computational Biology
- Large Language Models as Biomedical Hypothesis Generators: A Comprehensive EvaluationQi, Biqing, Zhang, Kaiyan, Tian, Kai, Li, Haoxiang, Chen, Zhang-Ren, Zeng, Sihang, Hua, Ermo, Jinfang, Hu, Zhou, Bowen · 2024 · arXiv
- Data-Efficient Learning-Based Iterative Optimization Method With Time-Varying Prediction Horizon for Multiagent CollaborationWang, Bowen, Gong, Xinle, Wang, Yafei, Xu, Rongtao, Huang, Hongcheng · 2025 · IEEE Internet of Things Journal
- Memory in the Age of AI AgentsHu, Yuyang, Liu, Shichun, Yue, Yanwei, Zhang, Guibin, Liu, Boyang, Zhu, Fangyi, Lin, Jiahang, Guo, Honglin, Dou, Shihan, Xi, Zhiheng et al. · 2025 · arXiv
- MAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent SystemsXiong, Wenjun, Zhou, Yijin, Wang, Jiaqian, Gu, Shangding, Tang, Bo, Li, Zhiyu, Xiong, Feiyu, Wen, Ying, Wen, Muning · 2026 · arXiv
- MARFT: Multi-Agent Reinforcement Fine-TuningLiao, Junwei, Wen, Muning, Wang, Jun, Zhang, Weinan · 2025 · arXiv