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← Reinforcement Learning

Reinforcement Learning ›

Methods

6,493 papers (10 classified directly here)

Subtopics

Deep RL (3,886) Policy Learning (2,076) Multi-Agent Systems (1,019) Offline RL (726) Meta-Learning (25) Model-Based RL (12)

Papers per year

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Papers (including subtopics)

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026

Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint) AAAI 2026

End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint) AAAI 2026

Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication AAAI 2026

An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies AAAI 2026

Specification-Guided Reinforcement Learning AAAI 2026

Interpretable Adversarial Reinforcement Learning AAAI 2026

Designing Incentives for Networked Multi-agent Systems AAAI 2026

Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning AAAI 2026

Robust Adaptive Multi-Step Predictive Shielding (Student Abstract) AAAI 2026

Hybrid PPO–DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract) AAAI 2026

Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract) AAAI 2026

CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026

Multi-Stage Reinforcement Learning for Robust Charging of Quantum Batteries (Student Abstract) AAAI 2026

CtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2026

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract) AAAI 2026

AI-Driven Real-Time Acoustic Modelling for Better Audio Perception in Dynamic Environments AAAI 2026

RAPID: A Rapid Prototyping Platform for Industrial Automation AAAI 2026

RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation AAAI 2026

Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech ACL 2026

Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints ACL 2026

Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning ACL 2026

Experience-driven Multi-turn Reinforcement Learning for GUI Agents ACL 2026

Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning ACL 2026

Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement ACL 2026