Results 271 to 280 of about 8,331,707 (294)

Deep Reinforcement Learning: A Survey

IEEE Transactions on Neural Networks and Learning Systems
Deep reinforcement learning (DRL) integrates the feature representation ability of deep learning with the decision-making ability of reinforcement learning so that it can achieve powerful end-to-end learning control capabilities. In the past decade, DRL has made substantial advances in many tasks that require perceiving high-dimensional input and ...
Qiguang Miao, Bin Dai, Dawei Zhao
exaly   +3 more sources

Deep Reinforcement Learning in Wargaming

Journal of Aerospace Information Systems
We investigate the potential of deep reinforcement learning (RL) for the development of autonomous wargaming agents. We discuss the relevant characteristics of wargaming environments for the design of learning systems, the choice of learning framework, and algorithms. While deep RL has been demonstrated to achieve superhuman levels in various games, we
Giacomo Del Rio, Oleg Szehr, Alessandro Antonucci 0001, Marco Pierbattista, Matthias Sommer, Michael Rüegsegger   +5 more
openaire   +1 more source

Deep Reinforcement Learning

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023
openaire   +1 more source

Deep Reinforcement Learning for Autonomous Driving: A Survey

IEEE Transactions on Intelligent Transportation Systems, 2022
Patrick Mannion, Patrick Perez, Kiran Bangalore Ravi   +2 more
exaly  

Deep reinforcement learning in computer vision: a comprehensive survey

Artificial Intelligence Review, 2021
Khoa Luu, T Hoang Ngan Le, Kashu Yamazaki   +2 more
exaly  

Transfer Learning in Deep Reinforcement Learning: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Anil Jain, Zhuangdi Zhu, Kaixiang Lin
exaly  

Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey

IEEE Communications Surveys and Tutorials, 2021
Yang Xiao, Nirwan Ansari
exaly  

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

IEEE Transactions on Intelligent Transportation Systems, 2022
Yasin Yilmaz, Ammar Haydari, Yasin Yilmaz   +2 more
exaly  

Deep learning, reinforcement learning, and world models

Neural Networks, 2022
Maneesh Sahani, Masashi Sugiyama, Eiji Uchibe   +2 more
exaly  

Double Deep Reinforcement Learning

2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2023
Josué Kiefer, Klaus Dorer
openaire   +1 more source