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

2,985 papers, page 52 of 60

2551. NeurIPS 2026LADDERS: Length-Aware Data Distribution and Existing-Response Speculation for Fast RL Rollout Generation
2552. NeurIPS 2026LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
2553. NeurIPS 2026Latency-Conditioned Selection Bias in RLHF
2554. NeurIPS 2026Latent Reasoning in Continuous Space for Unified Multimodal Models
2555. NeurIPS 2026LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
2556. NeurIPS 2026Learning Better Certified Models from Empirically-Robust Teachers
2557. NeurIPS 2026Learning Chance-Constrained MDPs with Bellman Distributional Certificates
2558. NeurIPS 2026Learning CLI Agents with Structured Action Credit under Selective Observation
2559. NeurIPS 2026Learning Collision‑Free Dispatch Policies for Route‑Wise Decision‑Dependent Anomaly Detection
2560. NeurIPS 2026Learning Contextual Causal Dynamics for Robust Exploration in Reinforcement Learning
2561. NeurIPS 2026Learning Cost-Efficient Autoscaling for Latency-Constrained Disaggregated LLM Serving
2562. NeurIPS 2026Learning Distributions from Multiple Data Providers
2563. NeurIPS 2026Learning From Failures: Efficient Reinforcement Learning Control with Episodic Memory
2564. NeurIPS 2026Learning from Language Feedback via Variational Policy Distillation
2565. NeurIPS 2026Learning Generalizable Hand-Object Tracking Control without Human Demonstrations
2566. NeurIPS 2026Learning in Causal Markov Games
2567. NeurIPS 2026Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers
2568. NeurIPS 2026Learning Large-Scale Competitive Team Behaviors with Mean-Field Interactions
2569. NeurIPS 2026Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
2570. NeurIPS 2026Learning Neuronal Wiring Rules from Morphological Token Sequences
2571. NeurIPS 2026Learning Planning Budgets in Real-Time RL
2572. NeurIPS 2026Learning Process Rewards via Visitation Matching for Efficient RL
2573. NeurIPS 2026Learning Reusable Motor Motifs for Continuous Animal Behavior Modeling
2574. NeurIPS 2026Learning Robust Reasoning through Guided Adversarial Self-Play
2575. NeurIPS 2026Learning to Audit ML Models with Theory of Mind
2576. NeurIPS 2026Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback
2577. NeurIPS 2026Learning to Cut: Reinforcement Learning for Benders Decomposition
2578. NeurIPS 2026Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards
2579. NeurIPS 2026Learning to Follow In-Context Watermark Instructions via Self-Distillation
2580. NeurIPS 2026Learning to Group and Order: Cross-Instance Self-Supervised RL for Vision-Centric MLLMs
2581. NeurIPS 2026Learning to Learn from Multimodal Experience
2582. NeurIPS 2026Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs
2583. NeurIPS 2026Learning to Surpass: Training Tool-Using Agents with Anchored Feedback
2584. NeurIPS 2026Learning to Trigger: Reinforcement Learning at the Large Hadron Collider
2585. NeurIPS 2026Learning to Undo: Transfer Reinforcement Learning under State Space Transformations
2586. NeurIPS 2026Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift
2587. NeurIPS 2026Learning When to Think: Adaptive Internal Computation for Reinforcement Learning
2588. NeurIPS 2026Leveraging Dale’s Principle as an Inductive Bias in Recurrent Neural Networks
2589. NeurIPS 2026Leveraging Latent Visual Reasoning in Silence
2590. NeurIPS 2026Leveraging Psychophysical Attentional Distribution for Gaze-Augmented Reward Modeling
2591. NeurIPS 2026LiFT: Likelihood-Free Tree-Structured Policy Optimization for Flow-Based VLAs
2592. NeurIPS 2026Likelihood-Free Generative Policy Optimization
2593. NeurIPS 2026LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs
2594. NeurIPS 2026LLMs as MDP Designers: A Dependency-Aware Agentic Framework for Automated Robot Policy Generation
2595. NeurIPS 2026Local Policy Manifolds for Efficient Multi-Objective Reinforcement Learning
2596. NeurIPS 2026Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
2597. NeurIPS 2026LOCU: Löwdin-Orthogonalized Constraint Updates for Multi-Constraint Policy Optimization
2598. NeurIPS 2026LogT: Logically Think with Images for Visual Search
2599. NeurIPS 2026Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities
2600. NeurIPS 2026Look Before You Reason: Implicit Visual Thinking for Efficient Multimodal 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.