{"total":19,"rows":[{"id":"2209.14935","title":"Does Zero-Shot Reinforcement Learning Exist?","created":"2022-09-29","cited_by_count":83,"area":null},{"id":"2212.03319","title":"Understanding Self-Predictive Learning for Reinforcement Learning","created":"2022-12-06","cited_by_count":44,"area":null},{"id":"2301.11181","title":"Deep Laplacian-based Options for Temporally-Extended Exploration","created":"2023-01-26","cited_by_count":29,"area":null},{"id":"2302.02252","title":"Reinforcement Learning in Low-Rank MDPs with Density Features","created":"2023-02-04","cited_by_count":18,"area":null},{"id":"2212.08765","title":"Latent Variable Representation for Reinforcement Learning","created":"2022-12-17","cited_by_count":15,"area":null},{"id":"2303.10859","title":"Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs","created":"2023-03-20","cited_by_count":14,"area":null},{"id":"2407.10448","title":"Spectral Representation for Causal Estimation with Hidden Confounders","created":"2024-07-15","cited_by_count":12,"area":null},{"id":"2310.06793","title":"Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning","created":"2023-10-10","cited_by_count":10,"area":null},{"id":"2311.12244","title":"Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning","created":"2023-11-20","cited_by_count":10,"area":null},{"id":"2505.18671","title":"Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems","created":"2025-05-24","cited_by_count":7,"area":null},{"id":"2404.05051","title":"Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint","created":"2024-04-07","cited_by_count":6,"area":null},{"id":"2504.16667","title":"Representation Learning via Non-Contrastive Mutual Information","created":"2025-04-23","cited_by_count":5,"area":null},{"id":"2305.18491","title":"Towards a Better Understanding of Representation Dynamics under TD-learning","created":"2023-05-29","cited_by_count":3,"area":null},{"id":"2410.17221","title":"Scalable spectral representations for multi-agent reinforcement learning in network MDPs","created":"2024-10-22","cited_by_count":3,"area":null},{"id":"2305.00654","title":"Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition","created":"2023-05-01","cited_by_count":2,"area":null},{"id":"2306.16750","title":"Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning","created":"2023-06-29","cited_by_count":2,"area":null},{"id":"2506.15190","title":"Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behavior","created":"2025-06-18","cited_by_count":1,"area":null},{"id":"2601.20154","title":"Spectral Ghost in Representation Learning: from Component Analysis to Self-Supervised Learning","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2609.37677","title":"Learning Expressive and Compositional Motion Representation via Spectral Skills","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}