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[2506.01347] The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
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[2511.19399] DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Abstract page for arXiv paper 2511.19399: DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
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The deployment of Reinforcement Learning (RL) in real-world applications is constrained by its failure to satisfy safety criteria. Existing Safe Reinforcement...
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Learning to Seek: autonomous source seeking using deep reinforcement learning onboard a Crazyflie |...
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RL Core Technologies – Intelligent Control with Reinforcement Learning
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How’s it going? Reinforcement learning in language models recruits a functional welfare axis
How does reinforcement learning shape a language model’s internal representations? We present evidence that RL recruits a pre-existing representation of...
https://openreview.net/forum?id=VGdqa79ugx
Optimism via Intrinsic Rewards: Scalable and Principled Exploration for Model-based Reinforcement...
We address the challenge of efficient exploration in model-based reinforcement learning (MBRL), where the system dynamics are unknown and the RL agent must...
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A Comparison of Demand Fading and a Dense Schedule of Reinforcement During Functional Communication...
Ample research indicates that functional communication training (FCT) is an effective intervention to reduce challenging behavior. The purpose of this study...
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https://data.mendeley.com/datasets/zbg64f6vb3/1
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https://arxiv.org/abs/2502.06869
[2502.06869] A Survey on Explainable Deep Reinforcement Learning
Abstract page for arXiv paper 2502.06869: A Survey on Explainable Deep Reinforcement Learning
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https://insights.princeton.edu/tag/reinforcement-learning/
Reinforcement learning Archives - Princeton Insights
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Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to...
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https://arxiv.org/abs/2002.05485
[2002.05485] Deep Reinforcement Learning Based Mode Selection and Resource Allocation for Cellular...
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Environment-Agnostic Autotelic Goal-Conditioned Reinforcement Learning
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https://pubmed.ncbi.nlm.nih.gov/24550063/?dopt=Abstract
Adolescent-specific patterns of behavior and neural activity during social reinforcement learning
Humans are sophisticated social beings. Social cues from others are exceptionally salient, particularly during adolescence. Understanding how adolescents...
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Influence of Sulfate Ions on Chloride-Induced Reinforcement Corrosion in Portland and Blended...
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Acetylation of Nanocellulose : Miscibility and Reinforcement Mechanisms in Polymer Nanocomposites
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TOWARDS REINFORCEMENT LEARNING TECHNIQUES FOR SPACECRAFT AUTONOMY | CU Experts | CU Boulder
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Paper page - CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
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https://www.ornl.gov/publication/amplifying-nanoparticle-reinforcement-through-low-volume-topologically-controlled
Amplifying Nanoparticle Reinforcement through Low Volume Topologically Controlled Chemical Coupling...
We present a streamlined method to covalently bond hydroxylated carbon nanotubes (CNOH) within a polyphenol matrix, all achieved through a direct, solvent-free...
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Research Explorer - Basic information about research project Deep reinforcement learning as a control strategy for wastewater treatment plants (3S013819). -...
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Configure Exploration for Reinforcement Learning Agents - MATLAB & Simulink
Use visualization to configure exploration in reinforcement learning agents.
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For longer activities, earned tokens can provide a tangible representation of completing smaller components within the task. The tokens are often traded for a...
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https://arxiv.org/abs/2604.05808
[2604.05808] Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM...
Abstract page for arXiv paper 2604.05808: Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents
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https://openresearch-repository.anu.edu.au/items/474da01d-f0b5-4f5e-8e5a-e8a264193567
Adaptive Service Composition Based on Reinforcement Learning
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[2510.08763] Reinforcement Learning-Based Optimization of CT Acquisition and Reconstruction...
Abstract page for arXiv paper 2510.08763: Reinforcement Learning-Based Optimization of CT Acquisition and Reconstruction Parameters Through Virtual Imaging...
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A Study on Reinforcement Detailing and Retrofitting Effect of RC Squat Walls
During the 921 earthquake in Taiwan, many reinforced concrete buildings were damaged or collapsed especially for low-rise school buildings. Due to the lacking...
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Development Projects : Lebanon Renewable Energy and System Reinforcement Project - P180501
Development Projects : Lebanon Renewable Energy and System Reinforcement Project - P180501
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https://www.coursera.org/learn/deep-learning-reinforcement-learning
Deep Learning and Reinforcement Learning | Coursera
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Physics-based simulation and reinforcement learning control of the heating phase in the...
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Multi-Agent Reinforcement Learning Based Fully Decentralized Dynamic Time Division Configuration...
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https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/Multi-Objective-Deep-Reinforcement-Learning-Assisted-Resource/99814065602346
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Multi-Objective Deep Reinforcement Learning Assisted Resource Allocation for MEC-Caching-coexist System - University of Surrey - Journal article
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https://pubmed.ncbi.nlm.nih.gov/34029226/
Cost-effectiveness of Staple Line Reinforcement in Laparoscopic Sleeve Gastrectomy
Compared with standard stapling, reinforced stapling reduces minor postoperative bleeding but not major bleeding or leaks and is not cost-effective if...
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https://scholarshare.temple.edu/items/62f86659-6075-4026-b614-f1cd66eb0466
Investigations into the Role of Orexin (Hypocretin) and Dynorphin in Drug Seeking, Reinforcement,...
Psychostimulant dependence remains a major health and economic problem, leading to premature death and costing $181 billion annually in health care, crime, and...
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Peter Stone: Characterizing Reinforcement Learning Methods through Parameterized Learning Problems
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Deep Reinforcement Learning for Control of Probabilistic Boolean Networks - University of Surrey
Jan 5, 2021 - Probabilistic Boolean Networks (PBNs) were introduced as a computational model for the study of complex dynamical systems, such as Gene Regulatory Networks...
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Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
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Mar 13, 2023 - Abstract: Reinforcement Learning (RL) presents great promises for autonomous agents. However, when using robots in a safety critical domain, a system has to be...
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Reinforcement Learning courses from top universities and industry leaders. Learn Reinforcement Learning online with courses like MOST from a Conceptual...
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[2306.16021] Structure in Deep Reinforcement Learning: A Survey and Open Problems
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[2402.03329v1] Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
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This course provides an overview and introduces modern methods for reinforcement learning (RL.) The course starts with the fundamentals of RL, such as...
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FileLogger - Log reinforcement learning training data to MAT files - MATLAB
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Masonry Design in Tekla Structural Designer: Alternative Workflow for Reinforcement - Trimble...
In this step-by-step video you will learn how wall patches can be used to define and design localized strengthening to the masonry wall. This masonry wall...
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Third-Order Fixed-Ratio Schedules of Reinforcement
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[2602.09207] CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
Abstract page for arXiv paper 2602.09207: CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
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AI Machine Learning Methods & Reinforcement Course | Udacity
Unlock the world of AI with reinforcement learning. Explore diverse machine learning methods. Enroll today and learn online with Udacity's industry experts.
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