{"total":102,"rows":[{"id":"2102.11107","title":"Towards Causal Representation Learning","created":"2021-02-22","cited_by_count":209,"area":null},{"id":"2103.09504","title":"PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning","created":"2021-03-17","cited_by_count":182,"area":null},{"id":"2310.10625","title":"Video Language Planning","created":"2023-10-16","cited_by_count":162,"area":null},{"id":"2104.15060","title":"DriveGAN: Towards a Controllable High-Quality Neural Simulation","created":"2021-04-30","cited_by_count":125,"area":null},{"id":"2210.03929","title":"EgoTaskQA: Understanding Human Tasks in Egocentric Videos","created":"2022-10-08","cited_by_count":115,"area":null},{"id":"2203.13880","title":"Reinforcement Learning with Action-Free Pre-Training from Videos","created":"2022-03-25","cited_by_count":108,"area":null},{"id":"2106.13195","title":"FitVid: Overfitting in Pixel-Level Video Prediction","created":"2021-06-24","cited_by_count":87,"area":null},{"id":"2103.04174","title":"Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction","created":"2021-03-06","cited_by_count":75,"area":null},{"id":"2206.08332","title":"BYOL-Explore: Exploration by Bootstrapped Prediction","created":"2022-06-16","cited_by_count":73,"area":null},{"id":"2101.12195","title":"Playable Video Generation","created":"2021-01-28","cited_by_count":64,"area":null},{"id":"2103.01950","title":"Predicting Video with VQVAE","created":"2021-03-02","cited_by_count":61,"area":null},{"id":"2109.06668","title":"Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain","created":"2021-09-14","cited_by_count":58,"area":null},{"id":"2304.01008","title":"Self-Supervised Multimodal Learning: A Survey","created":"2023-03-31","cited_by_count":58,"area":null},{"id":"2103.02243","title":"MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions","created":"2021-03-03","cited_by_count":54,"area":null},{"id":"2104.06159","title":"Muesli: Combining Improvements in Policy Optimization","created":"2021-04-13","cited_by_count":53,"area":null},{"id":"2106.04615","title":"Vector Quantized Models for Planning","created":"2021-06-08","cited_by_count":48,"area":null},{"id":"2107.12544","title":"Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning","created":"2021-07-27","cited_by_count":43,"area":null},{"id":"2210.13383","title":"Evaluating Long-Term Memory in 3D Mazes","created":"2022-10-24","cited_by_count":43,"area":null},{"id":"2410.18912","title":"Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling","created":"2024-10-24","cited_by_count":43,"area":null},{"id":"2102.09532","title":"Clockwork Variational Autoencoders","created":"2021-02-18","cited_by_count":42,"area":null},{"id":"2305.10683","title":"Paxion: Patching Action Knowledge in Video-Language Foundation Models","created":"2023-05-18","cited_by_count":42,"area":null},{"id":"2411.05902","title":"Autoregressive Models in Vision: A Survey","created":"2024-11-08","cited_by_count":39,"area":null},{"id":"2102.10271","title":"Meta-Learning Dynamics Forecasting Using Task Inference","created":"2021-02-20","cited_by_count":38,"area":null},{"id":"2104.10066","title":"EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task","created":"2021-04-16","cited_by_count":34,"area":null},{"id":"2203.01914","title":"Playable Environments: Video Manipulation in Space and Time","created":"2022-03-03","cited_by_count":29,"area":null},{"id":"2209.08466","title":"Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective","created":"2022-09-18","cited_by_count":28,"area":null},{"id":"2112.03321","title":"Noether Networks: Meta-Learning Useful Conserved Quantities","created":"2021-12-06","cited_by_count":26,"area":null},{"id":"2304.13723","title":"A Control-Centric Benchmark for Video Prediction","created":"2023-04-26","cited_by_count":25,"area":null},{"id":"2111.07775","title":"Learning Representations for Pixel-based Control: What Matters and Why?","created":"2021-11-15","cited_by_count":24,"area":null},{"id":"2203.15955","title":"Investigating the Properties of Neural Network Representations in Reinforcement Learning","created":"2022-03-30","cited_by_count":24,"area":null},{"id":"2201.12569","title":"Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes","created":"2022-01-29","cited_by_count":23,"area":null},{"id":"2209.07143","title":"HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator","created":"2022-09-15","cited_by_count":22,"area":null},{"id":"2507.08800","title":"NeuralOS: Towards Simulating Operating Systems via Neural Generative Models","created":"2025-07-11","cited_by_count":19,"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":"2312.08403","title":"Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model","created":"2023-12-13","cited_by_count":17,"area":null},{"id":"2104.09498","title":"Comparing Correspondences: Video Prediction with Correspondence-wise Losses","created":"2021-04-19","cited_by_count":16,"area":null},{"id":"2206.02218","title":"Statistical Deep Learning for Spatial and Spatio-Temporal Data","created":"2022-06-05","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":"2301.10886","title":"Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning","created":"2023-01-26","cited_by_count":12,"area":null},{"id":"2601.15281","title":"StableWorld: Towards Stable and Consistent Long Interactive Video Generation","created":"2026-01-21","cited_by_count":12,"area":null},{"id":"2103.10308","title":"Future Frame Prediction for Robot-assisted Surgery","created":"2021-03-18","cited_by_count":11,"area":null},{"id":"2302.11101","title":"Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts","created":"2023-02-22","cited_by_count":11,"area":null},{"id":"2103.06403","title":"A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance","created":"2021-03-11","cited_by_count":10,"area":null},{"id":"2107.01715","title":"Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction","created":"2021-07-04","cited_by_count":10,"area":null},{"id":"2307.01708","title":"Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning","created":"2023-07-04","cited_by_count":9,"area":null},{"id":"2402.05970","title":"Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts","created":"2024-02-06","cited_by_count":9,"area":null},{"id":"2103.11313","title":"PGT: A Progressive Method for Training Models on Long Videos","created":"2021-03-21","cited_by_count":7,"area":null},{"id":"2110.12840","title":"Self-Consistent Models and Values","created":"2021-10-25","cited_by_count":7,"area":null},{"id":"2111.12747","title":"Layered Controllable Video Generation","created":"2021-11-24","cited_by_count":7,"area":null},{"id":"2209.08842","title":"Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning","created":"2022-09-19","cited_by_count":7,"area":null},{"id":"2306.03988","title":"Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation","created":"2023-06-06","cited_by_count":7,"area":null},{"id":"2102.13265","title":"Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning","created":"2021-02-26","cited_by_count":6,"area":null},{"id":"2106.10137","title":"Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting","created":"2021-06-18","cited_by_count":6,"area":null},{"id":"2112.04153","title":"Model-Value Inconsistency as a Signal for Epistemic Uncertainty","created":"2021-12-08","cited_by_count":6,"area":null},{"id":"2204.06558","title":"Controllable Video Generation through Global and Local Motion Dynamics","created":"2022-04-13","cited_by_count":6,"area":null},{"id":"2305.15277","title":"Successor-Predecessor Intrinsic Exploration","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2105.02799","title":"Object-centric Video Prediction without Annotation","created":"2021-05-06","cited_by_count":5,"area":null},{"id":"2107.05140","title":"Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction","created":"2021-07-11","cited_by_count":5,"area":null},{"id":"2110.06149","title":"Planning from Pixels in Environments with Combinatorially Hard Search Spaces","created":"2021-10-12","cited_by_count":5,"area":null},{"id":"2403.13850","title":"Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance","created":"2024-03-18","cited_by_count":5,"area":null},{"id":"2103.02554","title":"Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap","created":"2021-03-03","cited_by_count":4,"area":null},{"id":"2110.03882","title":"ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning","created":"2021-10-08","cited_by_count":4,"area":null},{"id":"2110.06912","title":"OPEn: An Open-ended Physics Environment for Learning Without a Task","created":"2021-10-13","cited_by_count":4,"area":null},{"id":"2205.00001","title":"Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness","created":"2022-04-14","cited_by_count":4,"area":null},{"id":"2210.03825","title":"See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction","created":"2022-10-07","cited_by_count":4,"area":null},{"id":"2211.10515","title":"Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments","created":"2022-11-18","cited_by_count":4,"area":null},{"id":"2212.14376","title":"Long-horizon video prediction using a dynamic latent hierarchy","created":"2022-12-29","cited_by_count":4,"area":null},{"id":"2303.12957","title":"Reinforcement Learning with Exogenous States and Rewards","created":"2023-03-22","cited_by_count":4,"area":null},{"id":"2310.09123","title":"Automatic Music Playlist Generation via Simulation-based Reinforcement Learning","created":"2023-10-13","cited_by_count":4,"area":null},{"id":"2102.09883","title":"SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving","created":"2021-02-19","cited_by_count":3,"area":null},{"id":"2106.01655","title":"Hierarchical Representation Learning for Markov Decision Processes","created":"2021-06-03","cited_by_count":3,"area":null},{"id":"2304.07483","title":"Video Generation Beyond a Single Clip","created":"2023-04-15","cited_by_count":3,"area":null},{"id":"2305.03843","title":"REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models","created":"2023-05-05","cited_by_count":3,"area":null},{"id":"2305.10267","title":"State Representation Learning Using an Unbalanced Atlas","created":"2023-05-17","cited_by_count":3,"area":null},{"id":"2605.09965","title":"Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse","created":"2026-05-11","cited_by_count":3,"area":null},{"id":"2104.14386","title":"Pre-training of Deep RL Agents for Improved Learning under Domain Randomization","created":"2021-04-29","cited_by_count":2,"area":null},{"id":"2110.03223","title":"Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design","created":"2021-10-07","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":"2308.11079","title":"Long-Term Prediction of Natural Video Sequences with Robust Video Predictors","created":"2023-08-21","cited_by_count":2,"area":null},{"id":"2402.15284","title":"Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data","created":"2024-02-23","cited_by_count":2,"area":null},{"id":"2403.04200","title":"ACC-ViT : Atrous Convolution's Comeback in Vision Transformers","created":"2024-03-07","cited_by_count":2,"area":null},{"id":"2101.12050","title":"VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild","created":"2021-01-28","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":"2107.07713","title":"Towards an Interpretable Latent Space in Structured Models for Video Prediction","created":"2021-07-16","cited_by_count":1,"area":null},{"id":"2109.07561","title":"A Framework for Multisensory Foresight for Embodied Agents","created":"2021-09-15","cited_by_count":1,"area":null},{"id":"2111.08010","title":"Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning","created":"2021-11-15","cited_by_count":1,"area":null},{"id":"2112.12409","title":"InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition","created":"2021-12-23","cited_by_count":1,"area":null},{"id":"2302.14306","title":"CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2307.09206","title":"Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model","created":"2023-07-18","cited_by_count":1,"area":null},{"id":"2408.14763","title":"Channel Matters: Estimating Channel Influence for Multivariate Time Series","created":"2024-08-27","cited_by_count":1,"area":null},{"id":"2409.11452","title":"Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation","created":"2024-09-17","cited_by_count":1,"area":null},{"id":"2503.01676","title":"Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control","created":"2025-03-03","cited_by_count":1,"area":null},{"id":"2104.08543","title":"Planning with Expectation Models for Control","created":"2021-04-17","cited_by_count":0,"area":null},{"id":"2104.11931","title":"Adaptive Appearance Rendering","created":"2021-04-24","cited_by_count":0,"area":null},{"id":"2108.01895","title":"High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training","created":"2021-08-04","cited_by_count":0,"area":null},{"id":"2110.12658","title":"Operator Shifting for Model-based Policy Evaluation","created":"2021-10-25","cited_by_count":0,"area":null},{"id":"2112.07745","title":"Learning to track environment state via predictive autoencoding","created":"2021-12-14","cited_by_count":0,"area":null},{"id":"2211.03281","title":"Reward-Predictive Clustering","created":"2022-11-07","cited_by_count":0,"area":null},{"id":"2212.07123","title":"Reinforcement Learning in System Identification","created":"2022-12-14","cited_by_count":0,"area":null},{"id":"2404.05439","title":"Action-conditioned video data improves predictability","created":"2024-04-08","cited_by_count":0,"area":null}],"next_cursor":"100"}