{"list":"other","total":54,"rows":[{"id":"2402.03300","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","created":"2024-02-05","cited_by_count":9379},{"id":"2210.03629","title":"ReAct: Synergizing Reasoning and Acting in Language Models","created":"2022-10-06","cited_by_count":8695},{"id":"2412.15115","title":"Qwen2.5 Technical Report","created":"2024-12-19","cited_by_count":4942},{"id":"1509.02971","title":"Continuous control with deep reinforcement learning","created":"2015-09-09","cited_by_count":3407},{"id":"2310.06825","title":"Mistral 7B","created":"2023-10-10","cited_by_count":3164},{"id":"1802.09477","title":"Addressing Function Approximation Error in Actor-Critic Methods","created":"2018-02-26","cited_by_count":2417},{"id":"2204.01691","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","created":"2022-04-04","cited_by_count":2348},{"id":"2110.06169","title":"Offline Reinforcement Learning with Implicit Q-Learning","created":"2021-10-12","cited_by_count":1293},{"id":"2010.03768","title":"ALFWorld: Aligning Text and Embodied Environments for Interactive Learning","created":"2020-10-08","cited_by_count":1205},{"id":"2302.02948","title":"Efficient Online Reinforcement Learning with Offline Data","created":"2023-02-06","cited_by_count":363},{"id":"2203.07540","title":"ScienceWorld: Is your Agent Smarter than a 5th Grader?","created":"2022-03-14","cited_by_count":327},{"id":"2209.00626","title":"The Alignment Problem from a Deep Learning Perspective","created":"2022-08-30","cited_by_count":258},{"id":"2406.11896","title":"DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning","created":"2024-06-14","cited_by_count":214},{"id":"2503.09572","title":"Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks","created":"2025-03-12","cited_by_count":195},{"id":"2311.05772","title":"ADaPT: As-Needed Decomposition and Planning with Language Models","created":"2023-11-08","cited_by_count":177},{"id":"2404.12253","title":"Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing","created":"2024-04-18","cited_by_count":125},{"id":"2502.00640","title":"CollabLLM: From Passive Responders to Active Collaborators","created":"2025-02-02","cited_by_count":124},{"id":"2406.04151","title":"AgentGym: Evolving Large Language Model-based Agents across Diverse Environments","created":"2024-06-06","cited_by_count":120},{"id":"2404.16811","title":"Make Your LLM Fully Utilize the Context","created":"2024-04-25","cited_by_count":119},{"id":"2505.19591","title":"Multi-Agent Collaboration via Evolving Orchestration","created":"2025-05-26","cited_by_count":108},{"id":"2406.09279","title":"Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback","created":"2024-06-13","cited_by_count":107},{"id":"2502.04644","title":"Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools","created":"2025-02-07","cited_by_count":106},{"id":"2402.05746","title":"Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents","created":"2024-02-08","cited_by_count":91},{"id":"2406.09329","title":"Is Value Learning Really the Main Bottleneck in Offline RL?","created":"2024-06-13","cited_by_count":89},{"id":"2310.17722","title":"Large Language Models as Generalizable Policies for Embodied Tasks","created":"2023-10-26","cited_by_count":86},{"id":"2501.11651","title":"T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling","created":"2025-01-20","cited_by_count":77},{"id":"2409.03444","title":"Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities","created":"2024-09-05","cited_by_count":69},{"id":"1712.00579","title":"Online Reinforcement Learning in Stochastic Games","created":"2017-12-02","cited_by_count":67},{"id":"2509.09677","title":"The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs","created":"2025-09-11","cited_by_count":64},{"id":"2503.22458","title":"Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey","created":"2025-03-28","cited_by_count":57},{"id":"2211.04974","title":"Leveraging Offline Data in Online Reinforcement Learning","created":"2022-11-09","cited_by_count":42},{"id":"2509.07430","title":"The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward","created":"2025-09-09","cited_by_count":37},{"id":"2410.02189","title":"Agent-Oriented Planning in Multi-Agent Systems","created":"2024-10-03","cited_by_count":36},{"id":"2405.17888","title":"Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment","created":"2024-05-28","cited_by_count":32},{"id":"2510.20817","title":"KL-Regularized Reinforcement Learning is Designed to Mode Collapse","created":"2025-10-23","cited_by_count":31},{"id":"2406.03008","title":"DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences","created":"2024-06-05","cited_by_count":27},{"id":"2506.21495","title":"Bridging Offline and Online Reinforcement Learning for LLMs","created":"2025-06-26","cited_by_count":25},{"id":"2510.07777","title":"Drift No More? Context Equilibria in Multi-Turn LLM Interactions","created":"2025-10-09","cited_by_count":22},{"id":"2502.02584","title":"QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search","created":"2025-02-04","cited_by_count":20},{"id":"2503.16024","title":"The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement","created":"2025-03-20","cited_by_count":20},{"id":"1908.04696","title":"Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics","created":"2019-08-13","cited_by_count":16},{"id":"2404.02429","title":"AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset","created":"2024-04-03","cited_by_count":15},{"id":"2502.01943","title":"DAMA: Data- and Model-aware Alignment of Multi-modal LLMs","created":"2025-02-04","cited_by_count":14},{"id":"2510.23822","title":"ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents","created":"2025-10-27","cited_by_count":13},{"id":"2508.11953","title":"Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models","created":"2025-08-16","cited_by_count":12},{"id":"2506.06376","title":"Enhancing Decision-Making of Large Language Models via Actor-Critic","created":"2025-06-04","cited_by_count":7},{"id":"2505.13144","title":"Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning","created":"2025-05-19","cited_by_count":6},{"id":"2410.17373","title":"Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning","created":"2024-10-22","cited_by_count":5},{"id":"2510.10013","title":"Path Drift in Large Reasoning Models:How First-Person Commitments Override Safety","created":"2025-10-11","cited_by_count":5},{"id":"2508.13445","title":"ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate","created":"2025-08-19","cited_by_count":3},{"id":"2602.11656","title":"SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous driving","created":"2026-02-12","cited_by_count":3},{"id":"2508.16656","title":"OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System","created":"2025-08-20","cited_by_count":2},{"id":"2508.17000","title":"KL-Regularised Q-Learning: A Token-level Action-Value perspective on Online RLHF","created":"2025-08-23","cited_by_count":2},{"id":"2603.01040","title":"Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift","created":"2026-03-01","cited_by_count":2}],"next_cursor":null}