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 120 of 138

5951. ICLR 2023GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation
5952. ICLR 2023Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
5953. ICLR 2023Gray-Box Gaussian Processes for Automated Reinforcement Learning
5954. ICLR 2023Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement
5955. ICLR 2023Guarded Policy Optimization with Imperfect Online Demonstrations
5956. ICLR 2023Guiding Safe Exploration with Weakest Preconditions
5957. ICLR 2023Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
5958. ICLR 2023HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
5959. ICLR 2023Human-level Atari 200x faster
5960. ICLR 2023Hybrid RL: Using both offline and online data can make RL efficient
5961. ICLR 2023Hyper-Decision Transformer for Efficient Online Policy Adaptation
5962. ICLR 2023Hyperbolic Deep Reinforcement Learning
5963. ICLR 2023Imitating Graph-Based Planning with Goal-Conditioned Policies
5964. ICLR 2023Impossibly Good Experts and How to Follow Them
5965. ICLR 2023Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
5966. ICLR 2023Improving Deep Policy Gradients with Value Function Search
5967. ICLR 2023In-context Reinforcement Learning with Algorithm Distillation
5968. ICLR 2023In-sample Actor Critic for Offline Reinforcement Learning
5969. ICLR 2023Interaction-Based Disentanglement of Entities for Object-Centric World Models
5970. ICLR 2023Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
5971. ICLR 2023Is Conditional Generative Modeling all you need for Decision Making?
5972. ICLR 2023Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
5973. ICLR 2023Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
5974. ICLR 2023Latent State Marginalization as a Low-cost Approach for Improving Exploration
5975. ICLR 2023Latent Variable Representation for Reinforcement Learning
5976. ICLR 2023Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
5977. ICLR 2023Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
5978. ICLR 2023Learning About Progress From Experts
5979. ICLR 2023Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
5980. ICLR 2023Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
5981. ICLR 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
5982. ICLR 2023Learning Simultaneous Navigation and Construction in Grid Worlds
5983. ICLR 2023Learning Soft Constraints From Constrained Expert Demonstrations
5984. ICLR 2023Learning to Segment from Noisy Annotations: A Spatial Correction Approach
5985. ICLR 2023Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
5986. ICLR 2023Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
5987. ICLR 2023Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
5988. ICLR 2023LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
5989. ICLR 2023MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
5990. ICLR 2023MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
5991. ICLR 2023Making Better Decision by Directly Planning in Continuous Control
5992. ICLR 2023ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
5993. ICLR 2023Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
5994. ICLR 2023Memory Gym: Partially Observable Challenges to Memory-Based Agents
5995. ICLR 2023Mind the Gap: Offline Policy Optimization for Imperfect Rewards
5996. ICLR 2023Minimax Optimal Kernel Operator Learning via Multilevel Training
5997. ICLR 2023Minimum Description Length Control
5998. ICLR 2023Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
5999. ICLR 2023MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
6000. ICLR 2023More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization

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.