reinforcement-learning

Documents about reinforcement-learning

• Meta-Learning for Reinforcement Learning: Generalizing Agents to Unseen Scenarios#239152HAL (France)
• Optimization methods for reinforcement learning: theory and applications#211648Ora Oxford University Research
• Reinforcement Learning: A Survey#7269OpenAlex
• Reinforcement learning#18327Wikipedia
• Simple statistical gradient-following algorithms for connectionist reinforcement learning#7130OpenAlex
• Meta-learning attentional strategies in multidimensional reinforcement learning#439873OSF
• Deep Reinforcement Learning: Foundations and Practical Environment Setup for Real-World Applications#239151HAL (France)
• Performance Analysis of Reinforcement Learning-Optimized Firefighting Helicopter Routing Strategies in Simultaneous Multi-Focus Wildfire Scenarios#11830DataCite
• Performance Analysis of Reinforcement Learning-Optimized Firefighting Helicopter Routing Strategies in Simultaneous Multi-Focus Wildfire Scenarios#11831DataCite
• Adaptive Reinforcement Learning From Tabular Non-Stationarity to Deep Continual Learning#289287Repositorio institucional Séneca
• Bayesian reinforcement learning with Dirichlet processes#291862HAL (France)
• Bounded Ratio Reinforcement Learning#120494arXiv CS
• General Preference Reinforcement Learning#200476arXiv CS
• One to Rule Them All: Reinforcement Learning Policy Selection with Closed-Loop Sensitivity#304613HAL (France)
• REINFORCEMENT LEARNING FOR MULTI-LAYER TRAFFIC CONGESTION MANAGEMENT#367792ScholarBank@NUS
• Is Deep RL Reproducible? State of the art and new tools#268521HAL (France)
• Mapping the landscape of behavioral reinforcement learning research#228466OSF
• Samples That Matter: Principled Policy Learning for Robotics#354225HAL (France)
• Reinforcement Learning Qualification Process#387386Digital Commons @ Michigan Tech
• Investigating the relationship between affective valence and reinforcement learning#651797Europe PMC
• Maximum Likelihood Reinforcement Learning#650740arXiv (OAI Expanded)
• Maximum Likelihood Reinforcement Learning#652193arXiv (All)
• An Introduction to Reinforcement Learning#643535Harvard DASH
• Employing Deep Reinforcement Learning to Cyber-Attack Simulation for Enhancing Cybersecurity#671910OpenAlex
• Self-Distilled Agentic Reinforcement Learning#187299arXiv CS
• Regularized Reward-Punishment Reinforcement Learning#319674arXiv CS
• Research Data and Source Code for Deep Reinforcement Learning for Noise-Aware Truck-Drone Collaborative Routing in Urban Delivery#402193Figshare
• Provably Safe, Yet Scalable Reinforcement Learning#271844arXiv CS
• CRAX: Fast Safe Reinforcement Learning Benchmarking#290588arXiv CS
• Active Offline-to-Online Reinforcement Learning#363249arXiv CS
• Q-based Variational Inverse Reinforcement Learning#459638arXiv CS
• Self-Distilled Agentic Reinforcement Learning#186359Papers With Code
• BXRL: Behavior-Explainable Reinforcement Learning#628084arXiv (OAI Expanded)
• BXRL: Behavior-Explainable Reinforcement Learning#629946arXiv (All)
• Reinforcement learning in the Game of Hidden Rules: Representation, transfer, and generalization#352232RUcore, Rutgers University Community Repository
• Adaptive Modulation Selection in Wireless Communications: A Comparative Study of Reinforcement Learning, Deep Learning, Deep Reinforcement Learning, and Traditional Policies.#489647DBLP
• The Power of Adaptability Applied to Vehicular Traffic Management#643690Harvard DASH
• Continuous control with deep reinforcement learning#7158OpenAlex
• Regression & Reinforcement Learning Based Video Encoding Improvement#326173HAL (France)
• No Free Lunch for Hungry Machines: A Systems Investigation of Reinforcement Learning#347563Harvard DASH
• Autonomous Diffractometry Enabled by Visual Reinforcement Learning#10334arXiv CS
• Abstraction for Offline Goal-Conditioned Reinforcement Learning#216834arXiv CS
• Understanding Goal Generalisation in Sequential Reinforcement Learning#222613arXiv CS
• When Does Muon Help Agentic Reinforcement Learning?#381724arXiv CS
• Evaluating Fuzz Testing for Reinforcement Learning Agents#405653arXiv CS
• Interpretable reinforcement learning with decision-tree pruning#440390arXiv CS
• Bayesian Symbolic Regression with Entropic Reinforcement Learning#441810arXiv CS
• Efficient Hypergradient Descent for Inverse Reinforcement Learning#444626arXiv CS
• Decoupling Policy Extraction for Offline Reinforcement Learning#480073arXiv CS
• SUN: Reaching for Novelty in Reinforcement Learning#668065arXiv CS

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