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← Reinforcement Learning
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Applications

2,922 papers (40 classified directly here)

Subtopics

Robotics (2,069) Game AI (511) Value Iteration (356)

Papers per year

7
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23
331
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Papers (including subtopics)

Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning AAAI 2025
Real-Time Recurrent Reinforcement Learning AAAI 2025
Efficient Reinforcement Learning in Probabilistic Reward Machines AAAI 2025
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning AAAI 2025
Visual Reinforcement Learning with Residual Action AAAI 2025
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs AAAI 2025
CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics AAAI 2025
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks AAAI 2025
In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025
Differentiable Information Enhanced Model-Based Reinforcement Learning AAAI 2025
Single-Loop Federated Actor-Critic across Heterogeneous Environments AAAI 2025
LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding AAAI 2025
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities AAAI 2025
Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities AAAI 2025
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems AAAI 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game AAAI 2025
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning AAAI 2025
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes AAAI 2025
Efficient Robot Learning via Interaction with Humans AAAI 2025
Learning Structured World Models From and For Physical Interactions AAAI 2025
Robots Learning Through Physical Interactive Intelligence AAAI 2025
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial AAAI 2025
Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions AAAI 2025