{"total":14,"rows":[{"id":"2501.16142","title":"Towards General-Purpose Model-Free Reinforcement Learning","created":"2025-01-27","cited_by_count":41,"area":"deeprl"},{"id":"2404.06492","title":"Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective","created":"2024-04-09","cited_by_count":16,"area":"deeprl"},{"id":"2406.02035","title":"A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning","created":"2024-06-04","cited_by_count":7,"area":"deeprl"},{"id":"2601.21306","title":"The Surprising Difficulty of Search in Model-Based Reinforcement Learning","created":"2026-01-29","cited_by_count":6,"area":"deeprl"},{"id":"2402.07102","title":"An Empirical Study on the Power of Future Prediction in Partially Observable Environments","created":"2024-02-11","cited_by_count":4,"area":"deeprl"},{"id":"2507.13181","title":"Spectral Bellman Method: Unifying Representation and Exploration in RL","created":"2025-07-17","cited_by_count":4,"area":"deeprl"},{"id":"2407.21338","title":"Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks","created":"2024-07-31","cited_by_count":3,"area":"deeprl"},{"id":"2410.04988","title":"Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling","created":"2024-10-07","cited_by_count":3,"area":"deeprl"},{"id":"2406.16006","title":"Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning","created":"2024-06-23","cited_by_count":1,"area":"deeprl"},{"id":"2506.19997","title":"TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design","created":"2025-06-24","cited_by_count":1,"area":"deeprl"},{"id":"2605.16318","title":"Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning","created":"2026-05-04","cited_by_count":1,"area":"deeprl"},{"id":"2409.11756","title":"Synthesizing Evolving Symbolic Representations for Autonomous Systems","created":"2024-09-18","cited_by_count":0,"area":"deeprl"},{"id":"2501.09611","title":"EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning","created":"2025-01-16","cited_by_count":0,"area":"deeprl"},{"id":"2603.23873","title":"The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search","created":"2026-03-25","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}