{"total":15,"rows":[{"id":"2509.25174","title":"XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning","created":"2025-09-29","cited_by_count":17,"area":"deeprl"},{"id":"2507.11019","title":"Relative Entropy Pathwise Policy Optimization","created":"2025-07-15","cited_by_count":7,"area":"deeprl"},{"id":"2604.04539","title":"FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control","created":"2026-04-06","cited_by_count":5,"area":"deeprl"},{"id":"2602.10539","title":"What Makes Value Learning Efficient in Residual Reinforcement Learning?","created":"2026-02-11","cited_by_count":4,"area":"deeprl"},{"id":"2602.21203","title":"Squint: Fast Visual Reinforcement Learning for Sim-to-Real Robotics","created":"2026-02-24","cited_by_count":2,"area":"deeprl"},{"id":"2605.16692","title":"EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control","created":"2026-05-15","cited_by_count":2,"area":"deeprl"},{"id":"2601.23075","title":"RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning","created":"2026-01-30","cited_by_count":1,"area":"deeprl"},{"id":"2605.11711","title":"Debiased Model-based Representations for Sample-efficient Continuous Control","created":"2026-05-12","cited_by_count":1,"area":"deeprl"},{"id":"2607.16534","title":"Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning","created":"2026-07-17","cited_by_count":1,"area":"deeprl"},{"id":"2603.01452","title":"Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforcement Learning","created":"2026-03-02","cited_by_count":0,"area":"deeprl"},{"id":"2604.18978","title":"Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning","created":"2026-04-21","cited_by_count":0,"area":"deeprl"},{"id":"2605.10236","title":"When Does Non-Uniform Replay Matter in Reinforcement Learning?","created":"2026-05-11","cited_by_count":0,"area":"deeprl"},{"id":"2606.05555","title":"Representation Learning Enables Scalable Multitask Deep Reinforcement Learning","created":"2026-06-04","cited_by_count":0,"area":"deeprl"},{"id":"2608.07870","title":"V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control","created":"2026-08-08","cited_by_count":0,"area":"deeprl"},{"id":"2608.17180","title":"Task Specialization Fine-Tuning for Contextual Reinforcement Learning","created":"2026-08-17","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}