{"total":42,"rows":[{"id":"2402.15567","title":"Foundation Policies with Hilbert Representations","created":"2024-02-23","cited_by_count":94,"area":"deeprl"},{"id":"2406.17098","title":"Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making","created":"2024-06-24","cited_by_count":56,"area":"deeprl"},{"id":"2503.14858","title":"1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities","created":"2025-03-19","cited_by_count":45,"area":"deeprl"},{"id":"2402.17135","title":"Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings","created":"2024-02-27","cited_by_count":31,"area":"deeprl"},{"id":"2407.08464","title":"TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations","created":"2024-07-11","cited_by_count":17,"area":"deeprl"},{"id":"2501.02709","title":"Horizon Generalization in Reinforcement Learning","created":"2025-01-06","cited_by_count":17,"area":"deeprl"},{"id":"2501.15418","title":"Episodic Novelty Through Temporal Distance","created":"2025-01-26","cited_by_count":16,"area":"deeprl"},{"id":"2510.06714","title":"Dual Goal Representations","created":"2025-10-08","cited_by_count":16,"area":"deeprl"},{"id":"2505.23527","title":"Normalizing Flows are Capable Models for Continuous Control","created":"2025-05-29","cited_by_count":14,"area":"deeprl"},{"id":"2505.19850","title":"DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning","created":"2025-05-26","cited_by_count":12,"area":"deeprl"},{"id":"2510.22512","title":"Transitive RL: Value Learning via Divide and Conquer","created":"2025-10-26","cited_by_count":12,"area":"deeprl"},{"id":"2510.07257","title":"Test-Time Graph Search for Goal-Conditioned Reinforcement Learning","created":"2025-10-08","cited_by_count":8,"area":"deeprl"},{"id":"2511.07730","title":"Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning","created":"2025-11-11","cited_by_count":8,"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":"2512.12046","title":"Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning","created":"2025-12-12","cited_by_count":6,"area":"deeprl"},{"id":"2602.05031","title":"Laplacian Representations for Decision-Time Planning","created":"2026-02-04","cited_by_count":5,"area":"deeprl"},{"id":"2411.06174","title":"State Chrono Representation for Enhancing Generalization in Reinforcement Learning","created":"2024-11-09","cited_by_count":3,"area":"deeprl"},{"id":"2506.21044","title":"Efficient Skill Discovery via Regret-Aware Optimization","created":"2025-06-26","cited_by_count":3,"area":"deeprl"},{"id":"2604.17551","title":"SVL: Goal-Conditioned Reinforcement Learning as Survival Learning","created":"2026-04-19","cited_by_count":3,"area":"deeprl"},{"id":"2608.30640","title":"Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RL","created":"2026-08-31","cited_by_count":3,"area":"deeprl"},{"id":"2409.08724","title":"Quasimetric Value Functions with Dense Rewards","created":"2024-09-13","cited_by_count":2,"area":"deeprl"},{"id":"2410.05225","title":"ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control","created":"2024-10-07","cited_by_count":2,"area":"deeprl"},{"id":"2512.07976","title":"VLD: Visual Language Goal Distance for Reinforcement Learning Navigation","created":"2025-12-08","cited_by_count":2,"area":"deeprl"},{"id":"2605.06145","title":"Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization","created":"2026-05-07","cited_by_count":2,"area":"deeprl"},{"id":"2407.01991","title":"Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints","created":"2024-07-02","cited_by_count":1,"area":"deeprl"},{"id":"2511.03187","title":"Periodic Skill Discovery","created":"2025-11-05","cited_by_count":1,"area":"deeprl"},{"id":"2601.22496","title":"Action-Sufficient Goal Representations","created":"2026-01-30","cited_by_count":1,"area":"deeprl"},{"id":"2602.23280","title":"Mollified Value Learning","created":"2026-02-26","cited_by_count":1,"area":"deeprl"},{"id":"2605.09364","title":"MSPR: Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning","created":"2026-05-10","cited_by_count":1,"area":"deeprl"},{"id":"2410.16666","title":"QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning","created":"2024-10-22","cited_by_count":0,"area":"deeprl"},{"id":"2512.17846","title":"Planning as Descent: Goal-Conditioned Latent Trajectory Synthesis in Learned Energy Landscapes","created":"2025-12-19","cited_by_count":0,"area":"deeprl"},{"id":"2602.12087","title":"Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RL","created":"2026-02-12","cited_by_count":0,"area":"deeprl"},{"id":"2605.30503","title":"Physics-informed Goal-Conditioned Reinforcement Learning under Hybrid Contact Dynamics","created":"2026-05-28","cited_by_count":0,"area":"deeprl"},{"id":"2606.04188","title":"Dual Advantage Fields","created":"2026-06-02","cited_by_count":0,"area":"deeprl"},{"id":"2606.16515","title":"Direction-Conditioned Policies via Compositional Subgoal Scoring for Online Goal-Conditioned Reinforcement Learning","created":"2026-06-15","cited_by_count":0,"area":"deeprl"},{"id":"2609.08642","title":"SUN: Reaching for Novelty in Reinforcement Learning","created":"2026-09-08","cited_by_count":0,"area":"deeprl"},{"id":"2609.10781","title":"From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs","created":"2026-09-09","cited_by_count":0,"area":"deeprl"},{"id":"2609.36238","title":"ChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning","created":"2026-09-28","cited_by_count":0,"area":"deeprl"},{"id":"2609.39901","title":"Do Better Goal Representations Improve Goal-Conditioned Reinforcement Learning?","created":"2026-09-30","cited_by_count":0,"area":"deeprl"},{"id":"2610.00778","title":"Learning Goal-Reaching Quasimetric Geometry From Finite-Time Reachability","created":"2026-09-30","cited_by_count":0,"area":"deeprl"},{"id":"2610.05087","title":"Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning","created":"2026-10-04","cited_by_count":0,"area":"deeprl"},{"id":"2610.20009","title":"Outperforming 1000 Euclidean Layers With Hyperbolic Goal-Conditioned RL","created":"2026-10-14","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}