{"total":75,"rows":[{"id":"2402.15567","title":"Foundation Policies with Hilbert Representations","created":"2024-02-23","cited_by_count":94,"area":"deeprl"},{"id":"2406.20083","title":"PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators","created":"2024-06-28","cited_by_count":58,"area":"deeprl"},{"id":"2407.07787","title":"Continuous Control with Coarse-to-fine Reinforcement Learning","created":"2024-07-10","cited_by_count":17,"area":"deeprl"},{"id":"2503.03660","title":"Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns","created":"2025-03-05","cited_by_count":16,"area":"deeprl"},{"id":"2411.11188","title":"AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers","created":"2024-11-17","cited_by_count":15,"area":"deeprl"},{"id":"2405.04657","title":"ACEGEN: Reinforcement learning of generative chemical agents for drug discovery","created":"2024-05-07","cited_by_count":14,"area":"deeprl"},{"id":"2405.12424","title":"Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers","created":"2024-05-21","cited_by_count":14,"area":"deeprl"},{"id":"2410.22391","title":"A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks","created":"2024-10-29","cited_by_count":14,"area":"deeprl"},{"id":"2506.05997","title":"Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning","created":"2025-06-06","cited_by_count":11,"area":"deeprl"},{"id":"2411.12155","title":"Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning","created":"2024-11-19","cited_by_count":10,"area":"deeprl"},{"id":"2404.14238","title":"Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories","created":"2024-04-22","cited_by_count":9,"area":"deeprl"},{"id":"2510.19732","title":"Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning","created":"2025-10-22","cited_by_count":9,"area":"deeprl"},{"id":"2407.07333","title":"Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy","created":"2024-07-10","cited_by_count":7,"area":"deeprl"},{"id":"2402.18866","title":"Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming","created":"2024-02-29","cited_by_count":6,"area":"deeprl"},{"id":"2412.04074","title":"Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach","created":"2024-12-05","cited_by_count":6,"area":"deeprl"},{"id":"2506.15446","title":"Zero-Shot Reinforcement Learning Under Partial Observability","created":"2025-06-18","cited_by_count":6,"area":"deeprl"},{"id":"2509.08177","title":"Quadrotor Navigation using Reinforcement Learning with Privileged Information","created":"2025-09-09","cited_by_count":6,"area":"deeprl"},{"id":"2411.08622","title":"Precision-Focused Reinforcement Learning Model for Robotic Object Pushing","created":"2024-11-13","cited_by_count":5,"area":"deeprl"},{"id":"2411.19253","title":"Quantum feedback control with a transformer neural network architecture","created":"2024-11-28","cited_by_count":5,"area":"deeprl"},{"id":"2509.00338","title":"Scalable Option Learning in High-Throughput Environments","created":"2025-08-30","cited_by_count":5,"area":"deeprl"},{"id":"2402.07102","title":"An Empirical Study on the Power of Future Prediction in Partially Observable Environments","created":"2024-02-11","cited_by_count":4,"area":"deeprl"},{"id":"2402.15957","title":"DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning","created":"2024-02-25","cited_by_count":4,"area":"deeprl"},{"id":"2412.13093","title":"Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks","created":"2024-12-17","cited_by_count":4,"area":"deeprl"},{"id":"2504.09021","title":"A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7","created":"2025-04-12","cited_by_count":4,"area":"deeprl"},{"id":"2506.22365","title":"Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation","created":"2025-06-27","cited_by_count":4,"area":"deeprl"},{"id":"2502.06825","title":"RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning","created":"2025-02-05","cited_by_count":3,"area":"deeprl"},{"id":"2503.12036","title":"Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation","created":"2025-03-15","cited_by_count":3,"area":"deeprl"},{"id":"2505.13834","title":"Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams","created":"2025-05-20","cited_by_count":3,"area":"deeprl"},{"id":"2402.11317","title":"Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics","created":"2024-02-17","cited_by_count":2,"area":"deeprl"},{"id":"2403.03020","title":"SplAgger: Split Aggregation for Meta-Reinforcement Learning","created":"2024-03-05","cited_by_count":2,"area":"deeprl"},{"id":"2412.11930","title":"Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery","created":"2024-12-16","cited_by_count":2,"area":"deeprl"},{"id":"2505.17248","title":"Backdoors in DRL: Four Environments Focusing on In-distribution Triggers","created":"2025-05-22","cited_by_count":2,"area":"deeprl"},{"id":"2511.12706","title":"Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs","created":"2025-11-16","cited_by_count":2,"area":"deeprl"},{"id":"2512.07976","title":"VLD: Visual Language Goal Distance for Reinforcement Learning Navigation","created":"2025-12-08","cited_by_count":2,"area":"deeprl"},{"id":"2602.06746","title":"Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructions","created":"2026-02-06","cited_by_count":2,"area":"deeprl"},{"id":"2402.08832","title":"Intelligent Agricultural Management Considering N$_2$O Emission and Climate Variability with Uncertainties","created":"2024-02-13","cited_by_count":1,"area":"deeprl"},{"id":"2405.09086","title":"Chaos-based reinforcement learning with TD3","created":"2024-05-15","cited_by_count":1,"area":"deeprl"},{"id":"2407.17502","title":"MetaLoco: Universal Quadrupedal Locomotion with Meta-Reinforcement Learning and Motion Imitation","created":"2024-07-05","cited_by_count":1,"area":"deeprl"},{"id":"2407.18913","title":"SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments","created":"2024-07-26","cited_by_count":1,"area":"deeprl"},{"id":"2503.02369","title":"JPDS-NN: Reinforcement Learning-Based Dynamic Task Allocation for Agricultural Vehicle Routing Optimization","created":"2025-03-04","cited_by_count":1,"area":"deeprl"},{"id":"2505.06771","title":"JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes","created":"2025-05-10","cited_by_count":1,"area":"deeprl"},{"id":"2505.07008","title":"Constant-Memory Strategies in Stochastic Games: Best Responses and Equilibria","created":"2025-05-11","cited_by_count":1,"area":"deeprl"},{"id":"2507.18992","title":"Reinforcement Learning via Conservative Agent for Environments with Random Delays","created":"2025-07-25","cited_by_count":1,"area":"deeprl"},{"id":"2511.00190","title":"Deep reinforcement learning for optimal trading with partial information","created":"2025-10-31","cited_by_count":1,"area":"deeprl"},{"id":"2512.15439","title":"Double Horizon Model-Based Policy Optimization","created":"2025-12-17","cited_by_count":1,"area":"deeprl"},{"id":"2602.24030","title":"Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles","created":"2026-02-27","cited_by_count":1,"area":"deeprl"},{"id":"2603.04648","title":"When Sensors Fail: Temporal Sequence Models for Robust PPO under Sensor Drift","created":"2026-03-04","cited_by_count":1,"area":"deeprl"},{"id":"2603.23245","title":"Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning","created":"2026-03-24","cited_by_count":1,"area":"deeprl"},{"id":"2607.01528","title":"Wind-Aware Reinforcement Learning Control of a Small Quadrotor Using Learned Onboard Wind Estimation in Simulated Atmospheric Turbulence","created":"2026-07-01","cited_by_count":1,"area":"deeprl"},{"id":"2404.12999","title":"Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning","created":"2024-04-19","cited_by_count":0,"area":"deeprl"},{"id":"2406.09643","title":"A Policy Gradient-Based Sequence-to-Sequence Method for Time Series Prediction","created":"2024-06-14","cited_by_count":0,"area":"deeprl"},{"id":"2410.08979","title":"Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control","created":"2024-10-11","cited_by_count":0,"area":"deeprl"},{"id":"2412.07402","title":"Non-Progressive Influence Maximization in Dynamic Social Networks","created":"2024-12-10","cited_by_count":0,"area":"deeprl"},{"id":"2501.08528","title":"Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy","created":"2025-01-15","cited_by_count":0,"area":"deeprl"},{"id":"2502.19356","title":"Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning","created":"2025-02-26","cited_by_count":0,"area":"deeprl"},{"id":"2503.11059","title":"Training Directional Locomotion for Quadrupedal Low-Cost Robotic Systems via Deep Reinforcement Learning","created":"2025-03-14","cited_by_count":0,"area":"deeprl"},{"id":"2503.11065","title":"Low-cost Real-world Implementation of the Swing-up Pendulum for Deep Reinforcement Learning Experiments","created":"2025-03-14","cited_by_count":0,"area":"deeprl"},{"id":"2504.04164","title":"MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning","created":"2025-04-05","cited_by_count":0,"area":"deeprl"},{"id":"2505.10803","title":"Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management","created":"2025-05-16","cited_by_count":0,"area":"deeprl"},{"id":"2507.22174","title":"Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic","created":"2025-07-27","cited_by_count":0,"area":"deeprl"},{"id":"2509.04661","title":"Flexible inference for animal learning rules using neural networks","created":"2025-09-04","cited_by_count":0,"area":"deeprl"},{"id":"2511.05265","title":"An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones","created":"2025-11-07","cited_by_count":0,"area":"deeprl"},{"id":"2601.03683","title":"Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization","created":"2026-01-07","cited_by_count":0,"area":"deeprl"},{"id":"2601.05205","title":"EARL: Energy-Aware Optimization of Liquid State Machines for Pervasive AI","created":"2026-01-08","cited_by_count":0,"area":"deeprl"},{"id":"2602.01196","title":"Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies","created":"2026-02-01","cited_by_count":0,"area":"deeprl"},{"id":"2604.21640","title":"Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation","created":"2026-04-23","cited_by_count":0,"area":"deeprl"},{"id":"2605.04068","title":"Designing a double deep reinforcement learning selection tool for resilient demand prediction","created":"2026-04-12","cited_by_count":0,"area":"deeprl"},{"id":"2605.12206","title":"Train Short, Act Long: Multistability and the Horizon Independence of Recurrent Policies","created":"2026-05-12","cited_by_count":0,"area":"deeprl"},{"id":"2606.00880","title":"Task diversity produces systematic transfer but inhibits continual reinforcement learning","created":"2026-05-30","cited_by_count":0,"area":"deeprl"},{"id":"2607.28916","title":"Gated Q-learning: Add Off-Policy Bias to Taste","created":"2026-07-31","cited_by_count":0,"area":"deeprl"},{"id":"2609.01549","title":"NashDreamer: Model-Based Reinforcement Learning for Zero-Sum Imperfect-Information Games","created":"2026-09-01","cited_by_count":0,"area":"deeprl"},{"id":"2609.38598","title":"Reinforcement Learning with Complex (valued) Memories","created":"2026-09-29","cited_by_count":0,"area":"deeprl"},{"id":"2610.03924","title":"Barrier-Shaped Recurrent Reinforcement Learning for Autonomous Landing on a Heaving Ship Deck","created":"2026-10-02","cited_by_count":0,"area":"deeprl"},{"id":"2610.13197","title":"Does Learning Recurrent Networks Matter in Partially Observable RL?","created":"2026-10-09","cited_by_count":0,"area":"deeprl"},{"id":"2610.16524","title":"Reinforcement Learning with Hawkes-Structured Networks for Market Making","created":"2026-10-12","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}