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Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-57321-8_1openalex-snapshot
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions
inferredcites →https://doi.org/10.1007/978-3-642-24455-1_33openalex-snapshot
Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax
inferredcites →https://doi.org/10.1007/978-3-642-27645-3openalex-snapshot
Reinforcement Learning
inferredcites →https://doi.org/10.1007/bf00115009openalex-snapshot
Learning to Predict by the Methods of Temporal Differences
inferredcites →https://doi.org/10.1007/bf00992699openalex-snapshot
Self-improving reactive agents based on reinforcement learning, planning and teaching
inferredcites →https://doi.org/10.1007/s10489-022-04354-xopenalex-snapshot
Dyna-PPO reinforcement learning with Gaussian process for the continuous action decision-making in autonomous driving
inferredcites →https://doi.org/10.1016/j.cirpj.2022.11.003openalex-snapshot
Deep reinforcement learning in smart manufacturing: A review and prospects
inferredcites →https://doi.org/10.1016/j.ins.2020.05.066openalex-snapshot
Adaptive stock trading strategies with deep reinforcement learning methods
inferredcites →https://doi.org/10.1016/j.knosys.2020.106685openalex-snapshot
Explainability in deep reinforcement learning
inferredcites →https://doi.org/10.1037/rev0000046openalex-snapshot
Cocaine addiction as a homeostatic reinforcement learning disorder.
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1057/jors.1993.181openalex-snapshot
A Survey of Applications of Markov Decision Processes
inferredcites →https://doi.org/10.1080/01621459.1952.10483441openalex-snapshot
Use of Ranks in One-Criterion Variance Analysis
inferredcites →https://doi.org/10.1093/biomet/52.3-4.591openalex-snapshot
An Analysis of Variance Test for Normality (Complete Samples)
inferredcites →https://doi.org/10.1109/lra.2021.3135927openalex-snapshot
Explanation-Aware Experience Replay in Rule-Dense Environments
inferredcites →https://doi.org/10.1109/mspec.2021.9563954openalex-snapshot
Deep Learning's Diminishing Returns: The Cost of Improvement is Becoming Unsustainable
inferredcites →https://doi.org/10.1109/tcss.2021.3096824openalex-snapshot
Explainable AI in Deep Reinforcement Learning Models for Power System Emergency Control
inferredcites →https://doi.org/10.1145/3055635.3056621openalex-snapshot
Attention-Based Experience Replay in Deep Q-Learning
inferredcites →https://doi.org/10.1145/3340531.3412179openalex-snapshot
A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions
inferredcites →https://doi.org/10.1145/3477600openalex-snapshot
Reinforcement Learning in Healthcare: A Survey
inferredcites →https://doi.org/10.1145/3490354.3494374openalex-snapshot
A machine learning approach to detect early signs of startup success
inferredcites →https://doi.org/10.1145/3527448openalex-snapshot
Explainable Deep Reinforcement Learning: State of the Art and Challenges
inferredcites →https://doi.org/10.1561/2200000049openalex-snapshot
Bayesian Reinforcement Learning: A Survey
inferredcites →https://doi.org/10.1609/aaai.v34i09.7123openalex-snapshot
Energy and Policy Considerations for Modern Deep Learning Research
inferredcites →https://doi.org/10.1613/jair.1.13200openalex-snapshot
Explainable Deep Learning: A Field Guide for the Uninitiated
inferredcites →https://doi.org/10.17638/03029644openalex-snapshot
Experience Selection in Deep Reinforcement Learning for Control
inferredcites →https://doi.org/10.3389/frai.2021.717899openalex-snapshot
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods
inferredcites →https://doi.org/10.3390/app13042034openalex-snapshot
Experience Replay Optimisation via ATSC and TSC for Performance Stability in Deep RL
inferredcites →https://doi.org/10.3390/make3030032openalex-snapshot
Classification of Explainable Artificial Intelligence Methods through Their Output Formats
inferredcites →https://doi.org/10.48550/arxiv.1602.01783openalex-snapshot
Asynchronous Methods for Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1704.02685openalex-snapshot
Learning Important Features Through Propagating Activation Differences
inferredcites →https://doi.org/10.48550/arxiv.2208.08790openalex-snapshot
Explainable Reinforcement Learning on Financial Stock Trading using SHAP

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-13562-9_42openalex-snapshot
XAI-Guided Feature Pruning for Deep Reinforcement Learning in EV Routing Problems
inferred← citeshttps://doi.org/10.1007/s10489-024-05733-2openalex-snapshot
Analyzing deep reinforcement learning model decisions with Shapley additive explanations for counter drone operations
inferred← citeshttps://doi.org/10.1109/icciaa68481.2026.11543556openalex-snapshot
Explainable Reinforcement Learning for Automated Incident Response in Critical Infrastructure
inferred← citeshttps://doi.org/10.1155/humu/1816649openalex-snapshot
Panomics Integration via Machine Learning Prioritizes TAF1D as a Therapeutic Vulnerability in Lung Adenocarcinoma
inferred← citeshttps://doi.org/10.1186/s40854-026-00915-yopenalex-snapshot
Designing green artificial intelligence (Green AI) models for finance: a novel approach for sustainable and responsible adoption
inferred← citeshttps://doi.org/10.1609/aaai.v39i26.34981openalex-snapshot
ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.2139/ssrn.5375341openalex-snapshot
Leveraging Explainability of Deep Reinforcement Learning in Healthcare: The Case of Type 1 Diabetes Management
inferred← citeshttps://doi.org/10.32604/cmes.2025.066917openalex-snapshot
An IoT-Enabled Hybrid DRL-XAI Framework for Transparent Urban Water Management
inferred← citeshttps://doi.org/10.3390/app14198884openalex-snapshot
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
inferred← citeshttps://doi.org/10.35377/saucis...1736606openalex-snapshot
Explainable and Energy-Aware Self-Adaptive IoT Architecture Using Deep Q-Learning
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