Reinforcement Learning papers, 2023–2026

Key findings

• Reinforcement Learning went from 1,070 papers in 2023 to 2,985 in 2026, roughly 2.8x in three years.
• NeurIPS publishes the most Reinforcement Learning work: 2,494 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Reasoning Models: papers tagged with both rose from 9 in 2023 to 437 in 2026.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Reinforcement Learning papers

6,885 papers, page 80 of 138

3951. NeurIPS 2025Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability
3952. NeurIPS 2025Compute-Optimal Scaling for Value-Based Deep RL
3953. NeurIPS 2025Conditioning Matters: Training Diffusion Policies is Faster Than You Think
3954. NeurIPS 2025Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
3955. NeurIPS 2025Confounding Robust Deep Reinforcement Learning: A Causal Approach
3956. NeurIPS 2025Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
3957. NeurIPS 2025Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
3958. NeurIPS 2025Constrained Best Arm Identification
3959. NeurIPS 2025Constrained Optimization From a Control Perspective via Feedback Linearization
3960. NeurIPS 2025Constructing an Optimal Behavior Basis for the Option Keyboard
3961. NeurIPS 2025Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
3962. NeurIPS 2025Contextual Online Pricing with (Biased) Offline Data
3963. NeurIPS 2025Continual Knowledge Adaptation for Reinforcement Learning
3964. NeurIPS 2025Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
3965. NeurIPS 2025Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
3966. NeurIPS 2025Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
3967. NeurIPS 2025Convergent Functions, Divergent Forms
3968. NeurIPS 2025CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
3969. NeurIPS 2025Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
3970. NeurIPS 2025CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models
3971. NeurIPS 2025CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning
3972. NeurIPS 2025Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
3973. NeurIPS 2025CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
3974. NeurIPS 2025Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
3975. NeurIPS 2025CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation
3976. NeurIPS 2025Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
3977. NeurIPS 2025Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation
3978. NeurIPS 2025d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
3979. NeurIPS 2025DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
3980. NeurIPS 2025DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization
3981. NeurIPS 2025DAPO: An Open-Source LLM Reinforcement Learning System at Scale
3982. NeurIPS 2025DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
3983. NeurIPS 2025DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer
3984. NeurIPS 2025Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
3985. NeurIPS 2025Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments
3986. NeurIPS 2025DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning
3987. NeurIPS 2025DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO
3988. NeurIPS 2025Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO
3989. NeurIPS 2025Deployment Efficient Reward-Free Exploration with Linear Function Approximation
3990. NeurIPS 2025DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
3991. NeurIPS 2025DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
3992. NeurIPS 2025DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy
3993. NeurIPS 2025Differentiable Decision Tree via "ReLU+Argmin" Reformulation
3994. NeurIPS 2025Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
3995. NeurIPS 2025Diffusion Models Meet Contextual Bandits
3996. NeurIPS 2025DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
3997. NeurIPS 2025DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
3998. NeurIPS 2025Distances for Markov chains from sample streams
3999. NeurIPS 2025Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
4000. NeurIPS 2025Diversity-Aware Policy Optimization for Large Language Model Reasoning

FAQ

How many Reinforcement Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

6,885 in total: 1,070 in 2023, 1,190 in 2024, 1,640 in 2025, 2,985 in 2026.

How many Reinforcement Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 760 Reinforcement Learning papers, versus 784 the year before.

How many Reinforcement Learning papers are at ICLR 2026?

ICLR 2026 has 911 Reinforcement Learning papers, versus 379 the year before.

How many Reinforcement Learning papers are at ICML 2026?

ICML 2026 has 1,021 Reinforcement Learning papers, versus 405 the year before.

How many Reinforcement Learning papers are at CVPR 2026?

CVPR 2026 has 293 Reinforcement Learning papers, versus 72 the year before.

Which conference publishes the most Reinforcement Learning papers?

NeurIPS, with 2,494 papers from 2023 to 2026.