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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

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Papers (including subtopics)

MS-PPO: Mean Standard Deviation Proximal Policy Optimization for Reliable Parking Space Search in Structured Environments AAAI 2026

MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management AAAI 2026

Offline Fictitious Self-Play for Competitive Games AAAI 2026

Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub AAAI 2026

Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning AAAI 2026

Risk-Sensitive Exponential Actor Critic AAAI 2026

Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy AAAI 2026

Variance Reduction via Resampling and Experience Replay AAAI 2026

Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning AAAI 2026

Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning AAAI 2026

Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning AAAI 2026

Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning AAAI 2026

Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games AAAI 2026

FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing AAAI 2026

Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026

Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026

Partial Action Replacement: Tackling Distribution Shift in Offline MARL AAAI 2026

Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning AAAI 2026

Object-Centric Latent Action Learning AAAI 2026

Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States AAAI 2026

Fairness Aware Reinforcement Learning via Proximal Policy Optimization AAAI 2026

MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery AAAI 2026

State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2026

TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning AAAI 2026

CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space AAAI 2026