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

2,494 papers, page 42 of 50

2051. NeurIPS 2023Behavior Alignment via Reward Function Optimization
2052. NeurIPS 2023Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback
2053. NeurIPS 2023Beyond Average Return in Markov Decision Processes
2054. NeurIPS 2023Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
2055. NeurIPS 2023Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
2056. NeurIPS 2023Bi-Level Offline Policy Optimization with Limited Exploration
2057. NeurIPS 2023Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm
2058. NeurIPS 2023BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
2059. NeurIPS 2023Blockwise Parallel Transformers for Large Context Models
2060. NeurIPS 2023Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks
2061. NeurIPS 2023Boosting with Tempered Exponential Measures
2062. NeurIPS 2023Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
2063. NeurIPS 2023BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
2064. NeurIPS 2023Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
2065. NeurIPS 2023Bridging RL Theory and Practice with the Effective Horizon
2066. NeurIPS 2023Budgeting Counterfactual for Offline RL
2067. NeurIPS 2023Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
2068. NeurIPS 2023CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes
2069. NeurIPS 2023Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
2070. NeurIPS 2023CEIL: Generalized Contextual Imitation Learning
2071. NeurIPS 2023Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
2072. NeurIPS 2023Chatting Makes Perfect: Chat-based Image Retrieval
2073. NeurIPS 2023Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
2074. NeurIPS 2023Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark
2075. NeurIPS 2023Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits
2076. NeurIPS 2023Coherent Soft Imitation Learning
2077. NeurIPS 2023Combinatorial Optimization with Policy Adaptation using Latent Space Search
2078. NeurIPS 2023Combining Behaviors with the Successor Features Keyboard
2079. NeurIPS 2023Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems
2080. NeurIPS 2023Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control
2081. NeurIPS 2023Compositional Generalization from First Principles
2082. NeurIPS 2023Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
2083. NeurIPS 2023Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
2084. NeurIPS 2023Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
2085. NeurIPS 2023Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
2086. NeurIPS 2023Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
2087. NeurIPS 2023Conservative Offline Policy Adaptation in Multi-Agent Games
2088. NeurIPS 2023Conservative State Value Estimation for Offline Reinforcement Learning
2089. NeurIPS 2023Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
2090. NeurIPS 2023Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
2091. NeurIPS 2023Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
2092. NeurIPS 2023Context Shift Reduction for Offline Meta-Reinforcement Learning
2093. NeurIPS 2023Contextual Bandits and Imitation Learning with Preference-Based Active Queries
2094. NeurIPS 2023Continual Learning for Instruction Following from Realtime Feedback
2095. NeurIPS 2023Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
2096. NeurIPS 2023Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
2097. NeurIPS 2023Convergence of Actor-Critic with Multi-Layer Neural Networks
2098. NeurIPS 2023COOM: A Game Benchmark for Continual Reinforcement Learning
2099. NeurIPS 2023CORL: Research-oriented Deep Offline Reinforcement Learning Library
2100. NeurIPS 2023Corruption-Robust Offline Reinforcement Learning with General Function Approximation

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.