{"total":11,"rows":[{"id":"2505.05108","title":"Multi-agent Embodied AI: Advances and Future Directions","created":"2025-05-08","cited_by_count":36,"area":null},{"id":"2504.04191","title":"GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill","created":"2025-04-05","cited_by_count":9,"area":null},{"id":"2502.11918","title":"VLP: Vision-Language Preference Learning for Embodied Manipulation","created":"2025-02-17","cited_by_count":8,"area":null},{"id":"2603.09036","title":"SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding","created":"2026-03-10","cited_by_count":5,"area":null},{"id":"2511.19355","title":"Leveraging LLMs for reward function design in reinforcement learning control tasks","created":"2025-11-24","cited_by_count":2,"area":null},{"id":"2605.11859","title":"EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2605.28918","title":"When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL","created":"2026-05-27","cited_by_count":2,"area":null},{"id":"2504.19480","title":"An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination","created":"2025-04-28","cited_by_count":1,"area":null},{"id":"2601.21847","title":"READY: Reward Discovery for Meta-Black-Box Optimization","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2605.27013","title":"Generating Robust Portfolios of Optimization Models using Large Language Models","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2610.04364","title":"A Bird's-Eye View of Iterative Reward Design","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}