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Methods

8,258 papers (12 classified directly here)

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Papers (including subtopics)

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction NAACL 2025 Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies ICLR 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost ICLR 2025 Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset ICLR 2025 Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting CoRL 2025 FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program AAAI 2025 Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games ICML 2025 Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents ICML 2025 Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning ICML 2025 First Order Model-Based RL through Decoupled Backpropagation CoRL 2025 Fixing Distribution Shifts of LLM Self-Critique via On-Policy Self-Play Training ACL 2025 FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading ACL 2025 FLARE: Robot Learning with Implicit World Modeling CoRL 2025 FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning ICLR 2025 FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models EMNLP 2025 FloorPlan-LLaMa: Aligning Architects’ Feedback and Domain Knowledge in Architectural Floor Plan Generation ACL 2025 Flow-based Domain Randomization for Learning and Sequencing Robotic Skills ICML 2025 Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples ICML 2025 FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation AAAI 2025 Flow Q-Learning ICML 2025 Formally Verified Approximate Policy Iteration AAAI 2025 Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025 FOSP: Fine-tuning Offline Safe Policy through World Models ICLR 2025 FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making ICML 2025