{"total":66,"rows":[{"id":"2405.10292","title":"Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning","created":"2024-05-16","cited_by_count":158,"area":"lr"},{"id":"2411.00816","title":"CycleResearcher: Improving Automated Research via Automated Review","created":"2024-10-28","cited_by_count":148,"area":null},{"id":"2403.01248","title":"SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code","created":"2024-03-02","cited_by_count":134,"area":"agents"},{"id":"2401.10529","title":"Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences","created":"2024-01-19","cited_by_count":94,"area":"lr"},{"id":"2411.04549","title":"Vision Language Models are In-Context Value Learners","created":"2024-11-07","cited_by_count":90,"area":"mllm"},{"id":"2402.17139","title":"Video as the New Language for Real-World Decision Making","created":"2024-02-27","cited_by_count":87,"area":null},{"id":"2406.04268","title":"Open-Endedness is Essential for Artificial Superhuman Intelligence","created":"2024-06-06","cited_by_count":80,"area":null},{"id":"2412.15544","title":"VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving","created":"2024-12-20","cited_by_count":51,"area":"mllm"},{"id":"2404.19664","title":"Towards Generalist Robot Learning from Internet Video: A Survey","created":"2024-04-30","cited_by_count":40,"area":null},{"id":"2402.04764","title":"Code as Reward: Empowering Reinforcement Learning with VLMs","created":"2024-02-07","cited_by_count":39,"area":"mllm"},{"id":"2602.19313","title":"TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics","created":"2026-02-22","cited_by_count":33,"area":"alignment"},{"id":"2406.18043","title":"GenRL: Multimodal-foundation world models for generalization in embodied agents","created":"2024-06-26","cited_by_count":31,"area":"wm"},{"id":"2512.04797","title":"SIMA 2: A Generalist Embodied Agent for Virtual Worlds","created":"2025-12-04","cited_by_count":31,"area":"agents"},{"id":"2406.00645","title":"FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning","created":"2024-06-02","cited_by_count":26,"area":"mllm"},{"id":"2506.15421","title":"Reward Models in Deep Reinforcement Learning: A Survey","created":"2025-06-18","cited_by_count":25,"area":"alignment"},{"id":"2404.17672","title":"BlenderAlchemy: Editing 3D Graphics with Vision-Language Models","created":"2024-04-26","cited_by_count":22,"area":"mllm"},{"id":"2409.20568","title":"Continuously Improving Mobile Manipulation with Autonomous Real-World RL","created":"2024-09-30","cited_by_count":22,"area":null},{"id":"2405.19988","title":"Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics","created":"2024-05-30","cited_by_count":19,"area":"alignment"},{"id":"2602.15010","title":"BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames","created":"2026-02-16","cited_by_count":18,"area":"offlinerl"},{"id":"2502.12435","title":"A Survey on Large Language Models for Automated Planning","created":"2025-02-18","cited_by_count":17,"area":null},{"id":"2502.06395","title":"AppVLM: A Lightweight Vision Language Model for Online App Control","created":"2025-02-10","cited_by_count":15,"area":"mllm"},{"id":"2506.12822","title":"Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models","created":"2025-06-15","cited_by_count":15,"area":"mllm"},{"id":"2405.13573","title":"Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure Guidance","created":"2024-05-22","cited_by_count":9,"area":"lr"},{"id":"2503.01584","title":"SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models","created":"2025-03-03","cited_by_count":9,"area":"wm"},{"id":"2506.18631","title":"ReDit: Reward Dithering for Improved LLM Policy Optimization","created":"2025-06-23","cited_by_count":8,"area":"lr"},{"id":"2507.12496","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","created":"2025-07-15","cited_by_count":8,"area":"wm"},{"id":"2409.12798","title":"Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL","created":"2024-09-19","cited_by_count":7,"area":null},{"id":"2409.15922","title":"The Dark Side of Rich Rewards: Understanding and Mitigating Noise in VLM Rewards","created":"2024-09-24","cited_by_count":7,"area":"mllm"},{"id":"2412.05718","title":"RLZero: Direct Policy Inference from Language Without In-Domain Supervision","created":"2024-12-07","cited_by_count":7,"area":null},{"id":"2410.16411","title":"The Duality of Generative AI and Reinforcement Learning in Robotics: A Review","created":"2024-10-21","cited_by_count":6,"area":"deeprl"},{"id":"2505.24710","title":"Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting","created":"2025-05-30","cited_by_count":6,"area":null},{"id":"2508.01943","title":"ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks","created":"2025-08-03","cited_by_count":6,"area":"lr"},{"id":"2412.09168","title":"YingSound: Video-Guided Sound Effects Generation with Multi-modal Chain-of-Thought Controls","created":"2024-12-12","cited_by_count":5,"area":null},{"id":"2507.10741","title":"Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data","created":"2025-07-14","cited_by_count":5,"area":"agents"},{"id":"2607.21655","title":"Progress Reward Modeling for Robotic Learning: A Comprehensive Survey","created":"2026-07-22","cited_by_count":5,"area":"alignment"},{"id":"2409.10683","title":"MotIF: Motion Instruction Fine-tuning","created":"2024-09-16","cited_by_count":4,"area":null},{"id":"2506.14763","title":"RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills","created":"2025-06-17","cited_by_count":4,"area":"agents"},{"id":"2603.18315","title":"DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving","created":"2026-03-18","cited_by_count":4,"area":"mllm"},{"id":"2604.10506","title":"A Progressive Training Strategy for Embodied Vision-Language Models to Mitigate Spatio-Temporal Hallucinations","created":"2026-04-12","cited_by_count":4,"area":"lr"},{"id":"2410.09286","title":"Language-Model-Assisted Bi-Level Programming for Reward Learning from Internet Videos","created":"2024-10-11","cited_by_count":3,"area":"offlinerl"},{"id":"2411.17135","title":"LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble","created":"2024-11-26","cited_by_count":3,"area":"agents"},{"id":"2506.00819","title":"DriveMind: A Dual Visual Language Model-based Reinforcement Learning Framework for Autonomous Driving","created":"2025-06-01","cited_by_count":3,"area":"mllm"},{"id":"2506.16396","title":"GoalLadder: Incremental Goal Discovery with Vision-Language Models","created":"2025-06-19","cited_by_count":3,"area":"mllm"},{"id":"2603.28730","title":"SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning","created":"2026-03-30","cited_by_count":3,"area":"lr"},{"id":"2606.01672","title":"RDA: Reward Design Agent for Reinforcement Learning","created":"2026-06-01","cited_by_count":3,"area":"agents"},{"id":"2503.01062","title":"Offline RLAIF: Piloting VLM Feedback for RL via SFO","created":"2025-03-02","cited_by_count":2,"area":"mllm"},{"id":"2509.23155","title":"LaGEA: Language Guided Embodied Agents for Robotic Manipulation","created":"2025-09-27","cited_by_count":2,"area":"agents"},{"id":"2602.15872","title":"MARVL: Multi-Stage Guidance for Robotic Manipulation via Vision-Language Models","created":"2026-01-28","cited_by_count":2,"area":"mllm"},{"id":"2606.27180","title":"Automating Potential-based Reward Shaping with Vision Language Model Guidance","created":"2026-06-25","cited_by_count":2,"area":"mllm"},{"id":"2502.13430","title":"Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning","created":"2025-02-19","cited_by_count":1,"area":"agents"},{"id":"2506.10085","title":"VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models","created":"2025-06-11","cited_by_count":1,"area":"lr"},{"id":"2603.01694","title":"MVR: Multi-view Video Reward Shaping for Reinforcement Learning","created":"2026-03-02","cited_by_count":1,"area":"deeprl"},{"id":"2606.23640","title":"Learning Process Rewards via Success Visitation Matching for Efficient RL","created":"2026-06-22","cited_by_count":1,"area":"deeprl"},{"id":"2409.16024","title":"From Goal-Conditioned to Language-Conditioned Agents via Vision-Language Models","created":"2024-09-24","cited_by_count":0,"area":"mllm"},{"id":"2410.07404","title":"Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models","created":"2024-10-09","cited_by_count":0,"area":"deeprl"},{"id":"2412.00949","title":"STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft","created":"2024-12-01","cited_by_count":0,"area":"agents"},{"id":"2601.21570","title":"From Digital to Physical: Digital Agents as Autonomous Coaches for Physical Intelligence","created":"2026-01-29","cited_by_count":0,"area":"agents"},{"id":"2606.32034","title":"QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents","created":"2026-06-30","cited_by_count":0,"area":"agents"},{"id":"2607.00483","title":"VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement Learning","created":"2026-07-01","cited_by_count":0,"area":"mllm"},{"id":"2608.08158","title":"A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning","created":"2026-08-08","cited_by_count":0,"area":"deeprl"},{"id":"2608.08491","title":"TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models","created":"2026-08-09","cited_by_count":0,"area":"alignment"},{"id":"2608.25350","title":"Beyond Pairwise Feedback: Listwise Vision-Language Supervision for Preference-Based Reward Learning","created":"2026-08-26","cited_by_count":0,"area":"mllm"},{"id":"2609.05401","title":"Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models","created":"2026-09-04","cited_by_count":0,"area":"mllm"},{"id":"2609.17115","title":"Intrinsic Robot Rewarding: Reusing VLA Representations for Autonomous Evaluation and Policy Improvement","created":"2026-09-15","cited_by_count":0,"area":"vla"},{"id":"2609.31751","title":"EgoTSR++: Egocentric Spatiotemporal Reasoning for Task Progress Understanding","created":"2026-09-23","cited_by_count":0,"area":"lr"},{"id":"2610.09517","title":"It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption Bank","created":"2026-10-07","cited_by_count":0,"area":"mllm"}],"next_cursor":null}