{"total":58,"rows":[{"id":"2101.11517","title":"Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond","created":"2021-01-27","cited_by_count":153,"area":null},{"id":"2205.06908","title":"Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds","created":"2022-05-13","cited_by_count":85,"area":null},{"id":"2203.09637","title":"Investigating Compounding Prediction Errors in Learned Dynamics Models","created":"2022-03-17","cited_by_count":47,"area":null},{"id":"2103.04490","title":"Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems","created":"2021-03-07","cited_by_count":39,"area":null},{"id":"2204.11828","title":"Skill-based Meta-Reinforcement Learning","created":"2022-04-25","cited_by_count":37,"area":null},{"id":"2103.05115","title":"Deep reinforcement learning in medical imaging: A literature review","created":"2021-03-05","cited_by_count":34,"area":null},{"id":"2312.10256","title":"Multi-agent Reinforcement Learning: A Comprehensive Survey","created":"2023-12-15","cited_by_count":33,"area":null},{"id":"2103.13842","title":"Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning","created":"2021-03-25","cited_by_count":28,"area":null},{"id":"2108.09003","title":"Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey","created":"2021-08-20","cited_by_count":24,"area":null},{"id":"2111.11485","title":"A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning","created":"2021-11-22","cited_by_count":24,"area":null},{"id":"2112.10504","title":"Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic","created":"2021-12-16","cited_by_count":23,"area":null},{"id":"2209.13052","title":"Training Efficient Controllers via Analytic Policy Gradient","created":"2022-09-26","cited_by_count":22,"area":null},{"id":"2109.08522","title":"Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires","created":"2021-09-16","cited_by_count":20,"area":null},{"id":"2305.18427","title":"Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach","created":"2023-05-28","cited_by_count":19,"area":null},{"id":"2204.06716","title":"Control-oriented meta-learning","created":"2022-04-14","cited_by_count":17,"area":null},{"id":"2309.02236","title":"Distributionally Robust Model-based Reinforcement Learning with Large State Spaces","created":"2023-09-05","cited_by_count":17,"area":null},{"id":"2103.02084","title":"Minimax Model Learning","created":"2021-03-02","cited_by_count":16,"area":null},{"id":"2212.08765","title":"Latent Variable Representation for Reinforcement Learning","created":"2022-12-17","cited_by_count":15,"area":null},{"id":"2107.08241","title":"High-Accuracy Model-Based Reinforcement Learning, a Survey","created":"2021-07-17","cited_by_count":13,"area":null},{"id":"2111.08550","title":"On Effective Scheduling of Model-based Reinforcement Learning","created":"2021-11-16","cited_by_count":13,"area":null},{"id":"2202.06557","title":"Reinforcement Learning in Presence of Discrete Markovian Context Evolution","created":"2022-02-14","cited_by_count":9,"area":null},{"id":"2305.16483","title":"Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks","created":"2023-05-25","cited_by_count":9,"area":null},{"id":"2306.02418","title":"ContraBAR: Contrastive Bayes-Adaptive Deep RL","created":"2023-06-04","cited_by_count":9,"area":null},{"id":"2310.02671","title":"Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods","created":"2023-10-04","cited_by_count":9,"area":null},{"id":"2102.04881","title":"Measuring Progress in Deep Reinforcement Learning Sample Efficiency","created":"2021-02-09","cited_by_count":8,"area":null},{"id":"2110.02414","title":"Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks","created":"2021-10-05","cited_by_count":8,"area":null},{"id":"2111.08067","title":"ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control","created":"2021-11-15","cited_by_count":8,"area":null},{"id":"2302.03921","title":"Predictable MDP Abstraction for Unsupervised Model-Based RL","created":"2023-02-08","cited_by_count":8,"area":null},{"id":"2204.04558","title":"Gradient-Based Trajectory Optimization With Learned Dynamics","created":"2022-04-09","cited_by_count":7,"area":null},{"id":"2108.11645","title":"Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control","created":"2021-08-26","cited_by_count":6,"area":null},{"id":"2204.09418","title":"Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning","created":"2022-04-20","cited_by_count":6,"area":null},{"id":"2308.16538","title":"The AI Revolution: Opportunities and Challenges for the Finance Sector","created":"2023-08-31","cited_by_count":6,"area":null},{"id":"2310.01706","title":"On Representation Complexity of Model-based and Model-free Reinforcement Learning","created":"2023-10-03","cited_by_count":6,"area":null},{"id":"2311.07558","title":"Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning","created":"2023-11-13","cited_by_count":6,"area":null},{"id":"2108.05713","title":"Towards real-world navigation with deep differentiable planners","created":"2021-08-08","cited_by_count":4,"area":null},{"id":"2102.09361","title":"Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning","created":"2021-02-18","cited_by_count":3,"area":null},{"id":"2110.13079","title":"Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks","created":"2021-10-25","cited_by_count":3,"area":null},{"id":"2104.04174","title":"Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning","created":"2021-04-09","cited_by_count":2,"area":null},{"id":"2210.15670","title":"Knowledge-Guided Exploration in Deep Reinforcement Learning","created":"2022-10-26","cited_by_count":2,"area":null},{"id":"2301.03933","title":"Hint assisted reinforcement learning: an application in radio astronomy","created":"2023-01-10","cited_by_count":2,"area":null},{"id":"2305.12216","title":"On First-Order Meta-Reinforcement Learning with Moreau Envelopes","created":"2023-05-20","cited_by_count":2,"area":null},{"id":"2312.05257","title":"Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning","created":"2023-11-17","cited_by_count":2,"area":null},{"id":"2403.17364","title":"A Moreau Envelope Approach for LQR Meta-Policy Estimation","created":"2024-03-26","cited_by_count":2,"area":null},{"id":"2102.03866","title":"Model-Augmented Q-learning","created":"2021-02-07","cited_by_count":1,"area":null},{"id":"2104.10483","title":"Adaptive learning for financial markets mixing model-based and model-free RL for volatility targeting","created":"2021-04-19","cited_by_count":1,"area":null},{"id":"2109.05710","title":"Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability","created":"2021-09-13","cited_by_count":1,"area":null},{"id":"2202.08444","title":"A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization","created":"2022-02-17","cited_by_count":1,"area":null},{"id":"2310.10818","title":"Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning","created":"2023-10-16","cited_by_count":1,"area":null},{"id":"2407.12964","title":"Learning Long-Horizon Predictions for Quadrotor Dynamics","created":"2024-07-17","cited_by_count":1,"area":null},{"id":"2412.20429","title":"Multi-Scenario Reasoning: Unlocking Cognitive Autonomy in Humanoid Robots for Multimodal Understanding","created":"2024-12-29","cited_by_count":1,"area":null},{"id":"2110.08028","title":"Improving Hyperparameter Optimization by Planning Ahead","created":"2021-10-15","cited_by_count":0,"area":null},{"id":"2202.07275","title":"HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer","created":"2022-02-15","cited_by_count":0,"area":null},{"id":"2204.01925","title":"Online No-regret Model-Based Meta RL for Personalized Navigation","created":"2022-04-05","cited_by_count":0,"area":null},{"id":"2205.10739","title":"Offline Policy Comparison with Confidence: Benchmarks and Baselines","created":"2022-05-22","cited_by_count":0,"area":null},{"id":"2506.20989","title":"Can Gradient Descent Simulate Prompting?","created":"2025-06-26","cited_by_count":0,"area":null},{"id":"2509.05732","title":"Simulation Priors for Data-Efficient Deep Learning","created":"2025-09-06","cited_by_count":0,"area":null},{"id":"2603.02680","title":"LLMs for High-Frequency Decision-Making: Normalized Action Reward-Guided Consistency Policy Optimization","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2607.26345","title":"MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts","created":"2026-07-28","cited_by_count":0,"area":null}],"next_cursor":null}