{"total":17,"rows":[{"id":"2408.03195","title":"RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning","created":"2024-08-06","cited_by_count":9,"area":"deeprl"},{"id":"2404.03037","title":"Model-based Reinforcement Learning for Parameterized Action Spaces","created":"2024-04-03","cited_by_count":8,"area":"deeprl"},{"id":"2412.20338","title":"Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation","created":"2024-12-29","cited_by_count":3,"area":"deeprl"},{"id":"2503.17985","title":"Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree","created":"2025-03-23","cited_by_count":2,"area":"deeprl"},{"id":"2409.11267","title":"Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids","created":"2024-09-17","cited_by_count":1,"area":"deeprl"},{"id":"2511.00806","title":"Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems","created":"2025-11-02","cited_by_count":1,"area":"deeprl"},{"id":"2403.10761","title":"Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning","created":"2024-03-16","cited_by_count":0,"area":"deeprl"},{"id":"2501.02774","title":"Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes","created":"2025-01-06","cited_by_count":0,"area":"deeprl"},{"id":"2506.16608","title":"Distributions as Actions: A Unified Framework for Diverse Action Spaces","created":"2025-06-19","cited_by_count":0,"area":"deeprl"},{"id":"2510.24674","title":"Learning to Drive Safely with Hybrid Options","created":"2025-10-28","cited_by_count":0,"area":"deeprl"},{"id":"2510.26646","title":"Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments","created":"2025-10-30","cited_by_count":0,"area":"deeprl"},{"id":"2512.15430","title":"FM-EAC: Feature Model-based Enhanced Actor-Critic for Multi-Task Control in Dynamic Environments","created":"2025-12-17","cited_by_count":0,"area":"deeprl"},{"id":"2512.20831","title":"Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions","created":"2025-12-23","cited_by_count":0,"area":"deeprl"},{"id":"2602.08616","title":"Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces","created":"2026-02-09","cited_by_count":0,"area":"deeprl"},{"id":"2607.12924","title":"Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes","created":"2026-07-14","cited_by_count":0,"area":"deeprl"},{"id":"2609.08669","title":"Learning to build covering structures with continuous adjustments","created":"2026-09-08","cited_by_count":0,"area":"deeprl"},{"id":"2610.01546","title":"Reinforcement Learning to Accelerate Primal-Dual Hybrid Gradient for Linear Programming","created":"2026-10-01","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}