{"total":13,"rows":[{"id":"2107.13545","title":"Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation","created":"2021-07-28","cited_by_count":35,"area":null},{"id":"2303.01488","title":"Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning","created":"2023-03-02","cited_by_count":34,"area":null},{"id":"2112.09605","title":"Autonomous Reinforcement Learning: Formalism and Benchmarking","created":"2021-12-17","cited_by_count":33,"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":"2203.13733","title":"Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning","created":"2022-03-15","cited_by_count":22,"area":null},{"id":"2205.05212","title":"A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning","created":"2022-05-11","cited_by_count":22,"area":null},{"id":"2407.16186","title":"Automatic Environment Shaping is the Next Frontier in RL","created":"2024-07-23","cited_by_count":7,"area":null},{"id":"2106.11156","title":"Multi-Agent Curricula and Emergent Implicit Signaling","created":"2021-06-21","cited_by_count":6,"area":null},{"id":"2212.04581","title":"PALMER: Perception-Action Loop with Memory for Long-Horizon Planning","created":"2022-12-08","cited_by_count":5,"area":null},{"id":"2405.01684","title":"Intelligent Switching for Reset-Free RL","created":"2024-05-02","cited_by_count":4,"area":null},{"id":"2305.09943","title":"Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum","created":"2023-05-17","cited_by_count":3,"area":null},{"id":"2311.01609","title":"Responsible Emergent Multi-Agent Behavior","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2210.11111","title":"The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning","created":"2022-10-20","cited_by_count":0,"area":null}],"next_cursor":null}