{"total":28,"rows":[{"id":"2502.14819","title":"Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models","created":"2025-02-20","cited_by_count":89,"area":null},{"id":"2106.15612","title":"Learning Task Informed Abstractions","created":"2021-06-29","cited_by_count":58,"area":null},{"id":"2106.07156","title":"Temporal Predictive Coding For Model-Based Planning In Latent Space","created":"2021-06-14","cited_by_count":55,"area":null},{"id":"2111.03189","title":"Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning","created":"2021-11-04","cited_by_count":26,"area":null},{"id":"2110.06972","title":"Block Contextual MDPs for Continual Learning","created":"2021-10-13","cited_by_count":25,"area":null},{"id":"2103.09439","title":"HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks","created":"2021-03-17","cited_by_count":18,"area":null},{"id":"2403.04082","title":"Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference","created":"2024-03-06","cited_by_count":17,"area":null},{"id":"2210.09256","title":"On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning","created":"2022-10-17","cited_by_count":13,"area":null},{"id":"2410.01376","title":"Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems","created":"2024-10-02","cited_by_count":13,"area":null},{"id":"2212.02603","title":"Learning to Optimize in Model Predictive Control","created":"2022-12-05","cited_by_count":11,"area":null},{"id":"2212.02587","title":"Learning Sampling Distributions for Model Predictive Control","created":"2022-12-05","cited_by_count":10,"area":null},{"id":"2302.05342","title":"Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL","created":"2023-02-10","cited_by_count":9,"area":null},{"id":"2210.11779","title":"Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation","created":"2022-10-21","cited_by_count":8,"area":null},{"id":"2203.11369","title":"Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL","created":"2022-03-21","cited_by_count":7,"area":null},{"id":"2304.12405","title":"Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization","created":"2023-04-24","cited_by_count":7,"area":null},{"id":"2310.04590","title":"Deep Model Predictive Optimization","created":"2023-10-06","cited_by_count":7,"area":null},{"id":"2510.13025","title":"Information Shapes Koopman Representation","created":"2025-10-14","cited_by_count":4,"area":null},{"id":"2604.24894","title":"VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis","created":"2026-04-27","cited_by_count":3,"area":null},{"id":"2102.02493","title":"Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models","created":"2021-02-04","cited_by_count":2,"area":null},{"id":"2211.13257","title":"Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning","created":"2022-11-23","cited_by_count":2,"area":null},{"id":"2409.09920","title":"Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation","created":"2024-09-16","cited_by_count":1,"area":null},{"id":"2102.10304","title":"End-to-end neural network approach to 3D reservoir simulation and adaptation","created":"2021-02-20","cited_by_count":0,"area":null},{"id":"2110.08239","title":"Learn Proportional Derivative Controllable Latent Space from Pixels","created":"2021-10-15","cited_by_count":0,"area":null},{"id":"2201.01353","title":"Linear Variational State-Space Filtering","created":"2022-01-04","cited_by_count":0,"area":null},{"id":"2301.00009","title":"On the Geometry of Reinforcement Learning in Continuous State and Action Spaces","created":"2022-12-29","cited_by_count":0,"area":null},{"id":"2311.06438","title":"Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems","created":"2023-11-11","cited_by_count":0,"area":null},{"id":"2312.01544","title":"KEEC: Koopman Embedded Equivariant Control","created":"2023-12-04","cited_by_count":0,"area":null},{"id":"2410.08681","title":"Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations","created":"2024-10-11","cited_by_count":0,"area":null}],"next_cursor":null}