https://github.com/UCLA-StarAI/Analogous-Disentangled-Actor-Critic
GitHub - UCLA-StarAI/Analogous-Disentangled-Actor-Critic: Off-Policy Deep Reinforcement Learning...
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration - UCLA-StarAI/Analogous-Disentangled-Actor-Critic
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https://nasu-periodicals.org.ua/index.php/its/article/view/20081
Approaches to Creating Multiagent Systems and Deep Reinforcement Learning of Drones | Information...
Розглянуто зарубіжний досвід розробки та застосування штучного інтелекту за допомоги глибокого посиленого навчання нейромереж для розв’язання проблем з якими...
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https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-217.html
Optimizing Expectations: From Deep Reinforcement Learning to Stochastic Computation Graphs | EECS...
deep reinforcement learningoptimizingexpectationsstochasticcomputation
https://arxiv.org/abs/2006.05032
[2006.05032] Stealing Deep Reinforcement Learning Models for Fun and Profit
Abstract page for arXiv paper 2006.05032: Stealing Deep Reinforcement Learning Models for Fun and Profit
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https://arxiv.org/abs/2306.10950
[2306.10950] Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio...
Abstract page for arXiv paper 2306.10950: Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management
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https://science-cloud.hu/publikaciok/multi-agent-deep-reinforcement-learning-approach-application-agnostic-microservice
A Multi-Agent Deep-Reinforcement Learning Approach for Application-Agnostic Microservice Scaling |...
Efficient cloud-based microservice scaling needs to take into account the inter-dependencies between application components to avoid bottlenecks and to swiftly...
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https://blogs.nvidia.com/blog/deep-reinforcement-learning-gpus-robotics/
What Is Deep Reinforcement Learning? | NVIDIA Blog
Dec 10, 2020 - NVIDIA Isaac Gym runs entire deep reinforcement learning pipelines on GPUs, enabling significant speedups and reducing the hardware resources needed to develop...
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https://www.mdpi.com/2072-4292/13/19/3995
Multi-Agent Deep Reinforcement Learning for Online 3D Human Poses Estimation
Most multi-view based human pose estimation techniques assume the cameras are fixed. While in dynamic scenes, the cameras should be able to move and seek the...
deep reinforcement learningmultiagentonlinehuman
https://www.guijicankao.com/papers/asynchronous-methods-for-deep-reinforcement-learning
Asynchronous Methods for Deep Reinforcement Learning - 硅基参考论文图谱
Asynchronous Methods for Deep Reinforcement Learning (A3C)是由Volodymyr Mnih、Adrià Puigdomènech Badia、Mehdi Mirza等人于2016年提出的深度强化学习算法,发表在ICML 2016上。该算法使用异步多线程的方式,
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https://dev.to/pneumetron/new-research-challenges-canonical-deep-reinforcement-learning-evaluation-paradigms-1gbb
New Research Challenges Canonical Deep Reinforcement Learning Evaluation Paradigms - DEV Community
What Changed New research has critically examined the foundational evaluation and design... Tagged with deepreinforcementlearning, drl, evaluationparadigms,...
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https://papers.cool/venue/525@2017@IJCAI
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents | Cool Papers - Immersive Paper...
We introduce two tactics, namely the strategically-timed attack and the enchanting attack, to attack reinforcement learning agents trained by deep...
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https://publications.ibpsa.org/conference/paper/?id=bs2021_30879
Deep reinforcement learning-based optimal building energy management strategies with photovoltaic...
May 11, 2026 - Because of the spread of solar photovoltaic (PV) systems, a significant amount of research has been conducted on the development of efficient energy management...
deep reinforcement learningenergy managementbasedoptimalbuilding
https://arxiv.org/abs/1801.00054
[1801.00054] Deep Reinforcement Learning for Unsupervised Video Summarization with...
Abstract page for arXiv paper 1801.00054: Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward
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https://arxiv.org/abs/2512.03805
[2512.03805] Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on...
Abstract page for arXiv paper 2512.03805: Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the...
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https://kr.mathworks.com/matlabcentral/answers/2124721-issues-with-quadcopter-deep-reinforcement-learning-training-in-simulink
Issues with Quadcopter Deep Reinforcement Learning Training in Simulink - MATLAB Answers - MATLAB...
Issues with Quadcopter Deep Reinforcement... Learn more about drl, quadcopter, agent Simulink, MATLAB
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https://deepai.org/publication/on-the-verge-of-solving-rocket-league-using-deep-reinforcement-learning-and-sim-to-sim-transfer
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer |...
May 10, 2022 - 05/10/22 - Autonomously trained agents that are supposed to play video games reasonably well rely either on fast simulation speeds or heavy p...
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https://theforexindex.com/forex-trading/enhancing-forex-algorithmic-trading-with-deep-reinforcement-learning/
Enhancing Forex Algorithmic Trading with Deep Reinforcement Learning | The Forex Index
Feb 22, 2024 - Welcome to The Forex Index, your comprehensive guide to mastering Forex trading. Explore from basic to advanced strategies, leverage AI-enhanced learning...
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https://www.jonkrohn.com/posts/tag/deep+reinforcement+learning
deep reinforcement learning — Blog — Jon Krohn
Updates, generally new pieces of writing that have become available, are published here
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https://deeplearning.jp/en/dueling-network-architectures-for-deep-reinforcement-learning/
Dueling Network Architectures for Deep Reinforcement Learning | Deep Learning JP
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https://deeplearning.jp/asynchronous-methods-for-deep-reinforcement-learning/
Asynchronous Methods for Deep Reinforcement Learning | Deep Learning JP
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https://research.google/blog/scalable-deep-reinforcement-learning-for-robotic-manipulation/
Scalable Deep Reinforcement Learning for Robotic Manipulation
Posted Alex Irpan, Software Engineer, Google Brain Team and Peter Pastor, Senior Roboticist, X How can robots acquire skills that generalize effect...
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https://tullie.ai/blog/deep-reinforcement-learning-recommenders
Deep Reinforcement Learning for Recommender Systems | Tullie Murrell
Oct 16, 2024 - This article presents a technical exploration of deep reinforcement learning (DRL) in recommender systems, focusing on the latest methodologies, architectures,...
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https://j-weng.kaust.edu.sa/topics/muti-agent-deep-reinforcement-learning
Muti-agent deep reinforcement learning | Jian Weng Research Group
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https://ace.ewapub.com/article/view/34592
Adaptive Portfolio Optimization under Market Regime Shifts: A Deep Reinforcement Learning Approach
This study examines whether a reinforcement-learning allocation rule can remain usable when the return-generating process changes across market regimes. The...
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https://www.parentesis.media/tag/deep-reinforcement-learning/
deep reinforcement learning archivos - Paréntesis.Media
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https://housingscience.org/volume-46-issue-3/deep-reinforcement-learning-based-risk-control-mechanism-in-natural-disaster-public-opinion-management/
Deep Reinforcement Learning-based Risk Control Mechanism in Natural Disaster Public Opinion...
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https://scholar.xjtlu.edu.cn/en/publications/deep-reinforcement-learning-for-quantitative-trading/
Deep Reinforcement Learning for Quantitative Trading - Xi'an Jiaotong-Liverpool University
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https://www.iris.unict.it/handle/20.500.11769/677573
OSCAR: A Contention Window Optimization Approach Using Deep Reinforcement Learning
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https://journal.hep.com.cn/fitee/EN/10.1631/FITEE.2400448
Federated deep reinforcement learning based computation offloading in a low Earth orbit satellite...
Recent studies have shown that system capacity is very important for cellular networks. In this paper, we consider maximizing the weighted sum-rate of the...
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https://eesg.mit.edu/seminar-series/2022-spring-physics-informed-deep-reinforcement-learning-for-power-system-optimization-and-control
Physics-Informed Deep Reinforcement Learning for Power System Optimization and Control — Electric...
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https://underline.io/lecture/68546-end-to-end-deep-reinforcement-learning-for-conversation-disentanglement
End-to-End Deep Reinforcement learning for Conversation Disentanglement | Underline
On-demand video platform giving you access to lectures from conferences worldwide.
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https://repository.eduhk.hk/en/publications/improving-automatic-source-code-summarization-via-deep-reinforcem/fingerprints/
Improving automatic source code summarization via deep reinforcement learning - Fingerprint - EdUHK...
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https://singipedia.singidunum.ac.rs/izdanje/44109-autonomous-drone-control-for-visual-search-based-on-deep-reinforcement-learning
Autonomous Drone Control for Visual Search Based on Deep Reinforcement Learning
Univerzitet Singidunum - Naučno-istraživački portal Singipedia www.singipedia.com
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https://in.mathworks.com/matlabcentral/answers/605816-dynamically-change-a-block-input-during-deep-reinforcement-learning-after-each-episode-how-to
Dynamically change a block input during Deep Reinforcement Learning after each episode. How To? -...
Dynamically change a block input during Deep... Learn more about robust, reinforcement learning, dynamic, environment, blocks, workspace, deep learning,...
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https://pure.korea.ac.kr/en/publications/safety-aware-explainable-deep-reinforcement-learning-for-nephroto-2/
Safety-aware explainable deep reinforcement learning for nephrotoxic medication management in...
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https://world-wide.org/conf/bernstein-24/how-do-bees-see-nzbqaakv
How Do Bees See the World? A (Normative) Deep Reinforcement Learning Model for Insect Navigation -...
By Stephan Lochner and Andrew Straw. Presented at Bernstein Conference 2024 in Goethe University, Frankfurt, Germany. Central place foraging insects like the…
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https://scholar.xjtu.edu.cn/zh/publications/peer-to-peer-energy-trading-in-a-community-based-on-deep-reinforc/
Peer-to-peer energy trading in a community based on deep reinforcement learning - 西安交通大学
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https://towards-alignment.com/cards/reference/langosco2022goalmisgeneralization/
Langosco, 2022 — Goal Misgeneralization in Deep Reinforcement Learning | Towards Superintelligence...
Shows goal misgeneralization in deep reinforcement learning despite strong training performance.
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https://www.mecs-press.org/ijem/ijem-v16-n5/v16n5-23.html
A TD3-based Deep Reinforcement Learning algorithm for Voltage Regulation of Dual Active Bridge...
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https://research.ibm.com/publications/a-deep-reinforcement-learning-approach-to-first-order-logic-theorem-proving
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving for AAAI 2021 - IBM...
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving for AAAI 2021 by Maxwell Crouse et al.
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https://www.cmems.uminho.pt/publications/parallel-angular-and-perpendicular-parking-for-self-driving-cars-using-deep-reinforcement-learning/
Parallel, Angular and Perpendicular Parking for Self-Driving Cars using Deep Reinforcement Learning...
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https://jenskober.de/bibtexbrowser.php?key=Bruin2015NIPS_WS&bib=kober.bib
The Importance of Experience Replay Database Composition in Deep Reinforcement Learning (bibtex)
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https://wobr.ai/qr/beyond-supra-competitive-outcomes-collusive-behaviour-in-deep-reinforcement-lear-461ec35b.html
Beyond Supra-Competitive Outcomes: Collusive Behaviour in Deep Reinforcement Learning for Optimal...
In this paper, we extend earlier findings of supra-competitive outcomes in optimal-execution games by identifying a learned punitive mechanism that deters...
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https://www.unite.ai/what-is-deep-reinforcement-learning/
What is Deep Reinforcement Learning? – Unite.AI
Aug 27, 2026 - Deep reinforcement learning (deep RL) combines reinforcement learning with deep neural networks. An agent observes a state, chooses an action, receives a...
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https://jp.mathworks.com/help/deeplearning/ug/deep-reinforcement-learning-for-optimal-trade-execution.html
Deep Reinforcement Learning for Optimal Trade Execution - MATLAB & Simulink
This example shows how to use the Reinforcement Learning Toolbox™ and Deep Learning Toolbox™ to design agents for optimal trade execution.
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https://scholar.xjtu.edu.cn/en/publications/target-search-control-of-auv-in-underwater-environment-with-deep-/
Target Search Control of AUV in Underwater Environment with Deep Reinforcement Learning - Xi'an...
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https://shura.shu.ac.uk/27490/
Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A Review - Sheffield Hallam...
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https://dspace.mit.edu/entities/publication/94bc05b6-1c3f-49fb-8f92-39f1af184c9d
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning
IEEE Deep neural network-based systems are now state-of-the-art in many robotics tasks, but their application in safety-critical domains remains dangerous...
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https://it.mathworks.com/matlabcentral/answers/2124721-issues-with-quadcopter-deep-reinforcement-learning-training-in-simulink
Issues with Quadcopter Deep Reinforcement Learning Training in Simulink - MATLAB Answers - MATLAB...
Issues with Quadcopter Deep Reinforcement... Learn more about drl, quadcopter, agent Simulink, MATLAB
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https://ace.ewapub.com/article/view/23483
The Application and Challenges of Deep Reinforcement Learning in Complex Environments
Deep reinforcement learning (DRL), as an important branch of machine learning, has shown strong potential for application in complex environmental...
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https://pith.science/citations/1f1392cb-4c81-43ee-80a7-4d7288ff7154
Autonomous tissue manipulation via surgical robot using deep reinforcement learning and...
2 Pith papers cite this work. Polarity classification is still indexing.
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https://contrend.com/tag/what-is-deep-reinforcement-learning/
what is deep reinforcement learning - Contrend
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https://www.koreascience.or.kr/article/JAKO202022663814938.page
Time-varying Proportional Navigation Guidance using Deep Reinforcement Learning -Journal of the...
In this paper, we propose a time-varying proportional navigation guidance law that determines the proportional navigation gain in real-time according to the...
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https://transferlab.ai/trainings/intro-rl/
Safe and efficient deep reinforcement learning | TransferLab — appliedAI Institute
Sep 26, 2025 - This 2-day dive into deep RL for decision and control is suitable for engineers who want to solve real-world control problems with efficient and safe methods.
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https://www.mdpi.com/1424-8220/25/11/3403
Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation...
The integration of Unmanned Aerial Vehicles (UAVs) into Mobile Edge Computing (MEC) systems has emerged as a transformative solution for latency-sensitive...
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