{"total":47,"rows":[{"id":"2401.08898","title":"Bridging State and History Representations: Understanding Self-Predictive RL","created":"2024-01-17","cited_by_count":54,"area":"deeprl"},{"id":"2504.17838","title":"CaRL: Learning Scalable Planning Policies with Simple Rewards","created":"2025-04-24","cited_by_count":35,"area":"deeprl"},{"id":"2401.11963","title":"Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms","created":"2024-01-22","cited_by_count":26,"area":"deeprl"},{"id":"2502.19009","title":"Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning","created":"2025-02-26","cited_by_count":13,"area":"deeprl"},{"id":"2406.02696","title":"iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning","created":"2024-06-04","cited_by_count":9,"area":"deeprl"},{"id":"2409.15703","title":"Agent-state based policies in POMDPs: Beyond belief-state MDPs","created":"2024-09-24","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":"2408.08677","title":"Neural Reward Machines","created":"2024-08-16","cited_by_count":7,"area":"deeprl"},{"id":"2602.02722","title":"Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion","created":"2026-02-02","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":"2410.16411","title":"The Duality of Generative AI and Reinforcement Learning in Robotics: A Review","created":"2024-10-21","cited_by_count":6,"area":"deeprl"},{"id":"2502.17322","title":"TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control","created":"2025-02-24","cited_by_count":6,"area":"deeprl"},{"id":"2601.21306","title":"The Surprising Difficulty of Search in Model-Based Reinforcement Learning","created":"2026-01-29","cited_by_count":6,"area":"deeprl"},{"id":"2402.00816","title":"Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments","created":"2024-02-01","cited_by_count":5,"area":"deeprl"},{"id":"2409.16824","title":"Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability","created":"2024-09-25","cited_by_count":5,"area":"deeprl"},{"id":"2412.06531","title":"Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation","created":"2024-12-09","cited_by_count":5,"area":"deeprl"},{"id":"2406.01175","title":"NeoRL: Efficient Exploration for Nonepisodic RL","created":"2024-06-03","cited_by_count":4,"area":"deeprl"},{"id":"2509.20869","title":"Model-Based Reinforcement Learning under Random Observation Delays","created":"2025-09-25","cited_by_count":3,"area":"deeprl"},{"id":"2512.15036","title":"Spectral Representation-based Reinforcement Learning","created":"2025-12-17","cited_by_count":3,"area":"deeprl"},{"id":"2603.15388","title":"Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization","created":"2026-03-16","cited_by_count":3,"area":"deeprl"},{"id":"2402.07928","title":"Abstracted Trajectory Visualization for Explainability in Reinforcement Learning","created":"2024-02-05","cited_by_count":2,"area":"deeprl"},{"id":"2505.11862","title":"Q-Policy: Quantum-Enhanced Policy Evaluation for Scalable Reinforcement Learning","created":"2025-05-17","cited_by_count":2,"area":"deeprl"},{"id":"2510.13826","title":"Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition","created":"2025-10-09","cited_by_count":2,"area":"deeprl"},{"id":"2411.01396","title":"Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning","created":"2024-11-03","cited_by_count":1,"area":"deeprl"},{"id":"2507.03068","title":"Mitigating Goal Misgeneralization via Minimax Regret","created":"2025-07-03","cited_by_count":1,"area":"deeprl"},{"id":"2509.19017","title":"Fully Learnable Neural Reward Machines","created":"2025-09-23","cited_by_count":1,"area":"deeprl"},{"id":"2510.18518","title":"Efficient Model-Based Reinforcement Learning for Robot Control via Online Optimization","created":"2025-10-21","cited_by_count":1,"area":"deeprl"},{"id":"2604.19355","title":"LASER: Learning Active Sensing for Continuum Field Reconstruction","created":"2026-04-21","cited_by_count":1,"area":"deeprl"},{"id":"2607.20152","title":"Active Inference as a Convex Markov Decision Process","created":"2026-07-22","cited_by_count":1,"area":"deeprl"},{"id":"2403.01014","title":"A Case for Validation Buffer in Pessimistic Actor-Critic","created":"2024-03-01","cited_by_count":0,"area":"deeprl"},{"id":"2403.07979","title":"Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning","created":"2024-03-12","cited_by_count":0,"area":"deeprl"},{"id":"2407.01570","title":"Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL","created":"2024-05-27","cited_by_count":0,"area":"deeprl"},{"id":"2409.07341","title":"Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence","created":"2024-09-11","cited_by_count":0,"area":"deeprl"},{"id":"2411.05174","title":"Bayesian Inverse Transition Learning: Learning Dynamics From Near-Optimal Trajectories","created":"2024-11-07","cited_by_count":0,"area":"deeprl"},{"id":"2501.09611","title":"EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning","created":"2025-01-16","cited_by_count":0,"area":"deeprl"},{"id":"2505.14209","title":"Embedded Mean Field Reinforcement Learning for Perimeter-defense Game","created":"2025-05-20","cited_by_count":0,"area":"deeprl"},{"id":"2506.00691","title":"Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning","created":"2025-05-31","cited_by_count":0,"area":"deeprl"},{"id":"2510.22039","title":"Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability","created":"2025-10-24","cited_by_count":0,"area":"deeprl"},{"id":"2511.03836","title":"Enhancing Q-Value Updates in Deep Q-Learning via Successor-State Prediction","created":"2025-11-05","cited_by_count":0,"area":"deeprl"},{"id":"2604.14565","title":"Model-Based Reinforcement Learning Exploits Passive Body Dynamics for High-Performance Biped Robot Locomotion","created":"2026-04-16","cited_by_count":0,"area":"deeprl"},{"id":"2605.14026","title":"R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning","created":"2026-05-13","cited_by_count":0,"area":"deeprl"},{"id":"2605.20878","title":"CIG: Exploration via Conditional Information Gain","created":"2026-05-20","cited_by_count":0,"area":"deeprl"},{"id":"2608.03069","title":"Revisiting TD Target Aggregation under Uncertainty in Q-Learning","created":"2026-08-04","cited_by_count":0,"area":"deeprl"},{"id":"2609.04005","title":"The Dually Flat Geometry of Planning as Inference","created":"2026-09-03","cited_by_count":0,"area":"deeprl"},{"id":"2609.31025","title":"Precision at Speed: Sample-Efficient Online Model-Based Reinforcement Learning for Hydraulic Excavator Control","created":"2026-09-25","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":"2610.13197","title":"Does Learning Recurrent Networks Matter in Partially Observable RL?","created":"2026-10-09","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}