Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

Subjects: “…Deep reinforcement learning…”
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Design Principles for Reinforcement Learning in Congestion Control Environments by Lincoln Kamau Kiarie, Mahsa Derakhshani, Konstantinos G. Kyriakopoulos

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Biasing Exploration towards Positive Error for Efficient Reinforcement Learning by Adam Parker, John Sheppard

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A Comprehensive Review of Deep Learning Techniques in Mobile Robot Path Planning: Categorization and Analysis by Reza Hoseinnezhad

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Efficient crowd simulation in complex environment using deep reinforcement learning by Yihao Li, Yuting Chen, Junyu Liu, Tianyu Huang

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Accelerating Wound Healing Through Deep Reinforcement Learning: A Data-Driven Approach to Optimal Treatment by Fan Lu, Ksenia Zlobina, Prabhat Baniya, Houpu Li, Nicholas Rondoni, Narges Asefifeyzabadi, Wan Shen Hee, Maryam Tebyani, Kaelan Schorger, Celeste Franco, Michelle Bagood, Mircea Teodorescu, Marco Rolandi, Rivkah Isseroff, Marcella Gomez

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Review: the application of deep reinforcement learning to quantitative trading in financial market by XU Bo, HE Yijun, WEN Jiancheng, LI Xiangxia

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Backtracking Restarts for Deep Reinforcement Learning by Zaid Khalil Marji, John Licato

Subjects: “…deep reinforcement learning…”
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A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks by Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady

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Edge Cloud Resource Scheduling with Deep Reinforcement Learning by Y. Feng, M. Li, J. Li, Y. Yu

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Attention-Guided Deep Reinforcement Learning for Realistic Neural Painting by Xin Huang, Minglun Gong

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Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

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Queue Formation and Obstacle Avoidance Navigation Strategy for Multi-Robot Systems Based on Deep Reinforcement Learning by Tianyi Gao, Zhanlan Li, Zhixin Xiong, Ling Wen, Kai Tian, Kewei Cai

Subjects: “…Deep reinforcement learning…”
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Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning by Yingjun Liu, Fuchun Liu, Renwei Huang

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A Multi-Robot Collaborative Exploration Method Based on Deep Reinforcement Learning and Knowledge Distillation by Rui Wang, Ming Lyu, Jie Zhang

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Two-Timescale Coordination of Discretely and Continuously Adjustable Devices in ADNs With DRL and Physical Convex Optimization by Jian Zhang, Yigang He

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Optimal ACL Policy Placement in Hybrid SDN Networks: A Reinforcement Learning Approach by Wajid Ullah Khan, Nadir Shah, Gabriel-Miro Muntean, Haleem Farman, Moustafa M. Nasralla, Shan Ullah, Muhammad Shabir

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A Deep Reinforcement Learning-Based Decision-Making Approach for Routing Problems by Dapeng Yan, Qingshu Guan, Bei Ou, Bowen Yan, Zheng Zhu, Hui Cao

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Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators by Lucía Güitta-López, Vincenzo Suriani, Jaime Boal, Álvaro J. López-López, Daniele Nardi

Subjects: “…deep reinforcement learning…”
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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

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