{"total":16,"rows":[{"id":"2407.00304","title":"A Review of Safe Reinforcement Learning Methods for Modern Power Systems","created":"2024-06-29","cited_by_count":11,"area":"deeprl"},{"id":"2411.05614","title":"Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey","created":"2024-11-08","cited_by_count":8,"area":"deeprl"},{"id":"2406.00887","title":"Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations","created":"2024-06-02","cited_by_count":4,"area":"deeprl"},{"id":"2506.09562","title":"TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning","created":"2025-06-11","cited_by_count":3,"area":"deeprl"},{"id":"2507.07323","title":"Optimizing Model Splitting and Device Task Assignment for Deceptive Signal Assisted Private Multi-hop Split Learning","created":"2025-07-09","cited_by_count":3,"area":"deeprl"},{"id":"2507.08653","title":"Safe Deep Reinforcement Learning for Resource Allocation with Peak Age of Information Violation Guarantees","created":"2025-07-11","cited_by_count":1,"area":"deeprl"},{"id":"2409.03273","title":"Robust synchronization and policy adaptation for networked heterogeneous agents","created":"2024-09-05","cited_by_count":0,"area":"deeprl"},{"id":"2411.08734","title":"Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literature","created":"2024-11-13","cited_by_count":0,"area":"deeprl"},{"id":"2411.16134","title":"Multi-Robot Reliable Navigation in Uncertain Topological Environments with Graph Attention Networks","created":"2024-11-25","cited_by_count":0,"area":"deeprl"},{"id":"2412.19578","title":"Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization","created":"2024-12-27","cited_by_count":0,"area":"deeprl"},{"id":"2505.11153","title":"Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes","created":"2025-05-16","cited_by_count":0,"area":"deeprl"},{"id":"2508.20688","title":"Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning","created":"2025-08-28","cited_by_count":0,"area":"deeprl"},{"id":"2510.21758","title":"Taxonomy and Trends in Reinforcement Learning for Robotics and Control Systems: A Structured Review","created":"2025-10-11","cited_by_count":0,"area":"deeprl"},{"id":"2512.21412","title":"A Survey of Freshness-Aware Wireless Networking with Reinforcement Learning","created":"2025-12-24","cited_by_count":0,"area":"deeprl"},{"id":"2603.25771","title":"Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control","created":"2026-03-26","cited_by_count":0,"area":"deeprl"},{"id":"2606.32003","title":"On the Comparison of Reinforcement Learning and Adaptive Control for Linear Systems under Packet Loss and Uncertainty","created":"2026-06-30","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}