强化学习论文趋势 2023–2026

主要结论

• 强化学习论文从 2023 年的 1,070 篇增长到 2026 年的 2,985 篇，三年间扩大到约 2.8 倍。
• NeurIPS 是发强化学习论文最多的会议，2023–2026 年共 2,494 篇，占四个会议总量的 36%。
• 交叉方向里涨得最快的是推理模型：同时属于两个主题的论文从 2023 年的 9 篇增至 2026 年的 437 篇。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026\texttt{FEROM}: Frontier Endogenous Reveal-Order Marginal Policy Optimization for Masked Diffusion LMs
• ICML 2026$\text{DT}^\text{2}$: Decision-Targeted Digital Twins
• ICLR 2026$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Textual Space
• CVPR 2026A Causal Marriage between VLM and IRM from Understanding to
• NeurIPS 2025$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning
• ICML 2025A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
• ICLR 2025$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
• CVPR 2025All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising
• NeurIPS 2024A Critical Evaluation of AI Feedback for Aligning Large Language Models
• ICML 2024${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
• ICLR 2024A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
• CVPR 2024DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
• NeurIPS 2023“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization
• ICML 2023A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
• ICLR 2023$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
• CVPR 2023"Seeing" Electric Network Frequency From Events
• NeurIPS 2026$\varphi$TD: Distributional Reinforcement Learning using Characteristic Functions
• ICML 2026$\textit{S}$-SPPO: Semantic-Calibrated Self-Play Preference Optimization
• ICLR 2026$AutoDrive\text{-}P^3$: Unified Chain of Perception–Prediction–Planning Thought via Reinforcement Fine-Tuning
• CVPR 2026AdaptVision Efficient Vision-Language Models via Adaptive Visual Acquisition

全部强化学习论文

共 1,827 篇，第 20 / 37 页

951. ICLR 2025Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
952. ICLR 2025Bisimulation Metric for Model Predictive Control
953. ICLR 2025BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
954. ICLR 2025BodyGen: Advancing Towards Efficient Embodiment Co-Design
955. ICLR 2025BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
956. ICLR 2025BOND: Aligning LLMs with Best-of-N Distillation
957. ICLR 2025Bootstrapped Model Predictive Control
958. ICLR 2025Bootstrapping Language Models with DPO Implicit Rewards
959. ICLR 2025Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration
960. ICLR 2025BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
961. ICLR 2025Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
962. ICLR 2025Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
963. ICLR 2025Causal Information Prioritization for Efficient Reinforcement Learning
964. ICLR 2025Circuit Transformer: A Transformer That Preserves Logical Equivalence
965. ICLR 2025CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
966. ICLR 2025COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
967. ICLR 2025Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
968. ICLR 2025ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
969. ICLR 2025Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
970. ICLR 2025Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
971. ICLR 2025Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
972. ICLR 2025Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning
973. ICLR 2025ContraDiff: Planning Towards High Return States via Contrastive Learning
974. ICLR 2025Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
975. ICLR 2025Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
976. ICLR 2025Counterfactual Realizability
977. ICLR 2025Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
978. ICLR 2025Cross-Embodiment Dexterous Grasping with Reinforcement Learning
979. ICLR 2025CycleResearcher: Improving Automated Research via Automated Review
980. ICLR 2025DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control
981. ICLR 2025Data Center Cooling System Optimization Using Offline Reinforcement Learning
982. ICLR 2025Deep Networks Learn Features From Local Discontinuities in the Label Function
983. ICLR 2025DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
984. ICLR 2025DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
985. ICLR 2025DeLLMa: Decision Making Under Uncertainty with Large Language Models
986. ICLR 2025DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References
987. ICLR 2025Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
988. ICLR 2025Diffusion Models Are Real-Time Game Engines
989. ICLR 2025Diffusion Policy Policy Optimization
990. ICLR 2025Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents
991. ICLR 2025Direct Distributional Optimization for Provable Alignment of Diffusion Models
992. ICLR 2025Discrete Codebook World Models for Continuous Control
993. ICLR 2025Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
994. ICLR 2025Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
995. ICLR 2025DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent
996. ICLR 2025Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
997. ICLR 2025Diverse Preference Learning for Capabilities and Alignment
998. ICLR 2025Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators
999. ICLR 2025DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning
1000. ICLR 2025Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL

常见问题

2023–2026 年四大会议一共有多少篇强化学习论文？

共 6,885 篇，按年份分别是 2023 年 1,070 篇、2024 年 1,190 篇、2025 年 1,640 篇、2026 年 2,985 篇。

NeurIPS 2026 有多少篇强化学习论文？

NeurIPS 2026 有 760 篇强化学习论文，上一届是 784 篇。

ICLR 2026 有多少篇强化学习论文？

ICLR 2026 有 911 篇强化学习论文，上一届是 379 篇。

ICML 2026 有多少篇强化学习论文？

ICML 2026 有 1,021 篇强化学习论文，上一届是 405 篇。

CVPR 2026 有多少篇强化学习论文？

CVPR 2026 有 293 篇强化学习论文，上一届是 72 篇。

哪个会议的强化学习论文最多？

NeurIPS，2023–2026 年共 2,494 篇。