Methods › Reinforcement Learning › Q-Learning Networks › DQN
Deep Q-Network
DQN
Introduced by Volodymyr Mnih et al. in Playing Atari with Deep Reinforcement Learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A DQN, or Deep Q-Network, approximates a state-value function in a Q-Learning framework with a neural network. In the Atari Games case, they take in several frames of the game as an input and output state values for each action as an output.
It is usually used in conjunction with Experience Replay, for storing the episode steps in memory for off-policy learning, where samples are drawn from the replay memory at random. Additionally, the Q-Network is usually optimized towards a frozen target network that is periodically updated with the latest weights every k steps (where k is a hyperparameter). The latter makes training more stable by preventing short-term oscillations from a moving target. The former tackles autocorrelation that would occur from on-line learning, and having a replay memory makes the problem more like a supervised learning problem.
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Papers archive 2025-07-28
30 shown of 519, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound 15 Jul 2025 · 0 repositories · arXiv:2507.11269
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Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study 8 Jul 2025 · 0 repositories · arXiv:2507.05619
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2048: Reinforcement Learning in a Delayed Reward Environment 7 Jul 2025 · 0 repositories · arXiv:2507.05465
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VRAIL: Vectorized Reward-based Attribution for Interpretable Learning 19 Jun 2025 · 0 repositories · arXiv:2506.16014
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GCN-Driven Reinforcement Learning for Probabilistic Real-Time Guarantees in Industrial URLLC 17 Jun 2025 · 0 repositories · arXiv:2506.15011
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Reliable Critics: Monotonic Improvement and Convergence Guarantees for Reinforcement Learning 8 Jun 2025 · 0 repositories · arXiv:2506.07134
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Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices 31 May 2025 · 0 repositories · arXiv:2506.00730
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Combining Deep Architectures for Information Gain estimation and Reinforcement Learning for multiagent field exploration 29 May 2025 · 0 repositories · arXiv:2505.23865
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The Cell Must Go On: Agar.io for Continual Reinforcement Learning 23 May 2025 · 1 repository · arXiv:2505.18347
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LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models 21 May 2025 · 0 repositories · arXiv:2505.15293
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Automatic Reward Shaping from Confounded Offline Data 16 May 2025 · 0 repositories · arXiv:2505.11478
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Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs 8 May 2025 · 0 repositories · arXiv:2505.06319
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Interpretable Learning Dynamics in Unsupervised Reinforcement Learning 6 May 2025 · 0 repositories · arXiv:2505.06279
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Universal Approximation Theorem of Deep Q-Networks 4 May 2025 · 0 repositories · arXiv:2505.02288
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Approximation to Deep Q-Network by Stochastic Delay Differential Equations 1 May 2025 · 0 repositories · arXiv:2505.00382
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AlphaGrad: Non-Linear Gradient Normalization Optimizer 22 Apr 2025 · 0 repositories · arXiv:2504.16020
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State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination 22 Apr 2025 · 0 repositories · arXiv:2504.15577
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Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation 11 Apr 2025 · 0 repositories · arXiv:2504.08195
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Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization 31 Mar 2025 · 0 repositories · arXiv:2503.23659
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Deep Q-Learning with Gradient Target Tracking 20 Mar 2025 · 0 repositories · arXiv:2503.16700
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A Generalist Hanabi Agent 17 Mar 2025 · 1 repository · arXiv:2503.14555
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Exploring Competitive and Collusive Behaviors in Algorithmic Pricing with Deep Reinforcement Learning 14 Mar 2025 · 0 repositories · arXiv:2503.11270
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Intelligent Joint Security and Delay Determinacy Performance Guarantee Strategy in RIS-Assisted IIoT Communication Systems 11 Mar 2025 · 0 repositories · arXiv:2503.08086
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Human-AI Collaboration in Cloud Security: Cognitive Hierarchy-Driven Deep Reinforcement Learning 22 Feb 2025 · 0 repositories · arXiv:2502.16054
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Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics 20 Feb 2025 · 1 repository · arXiv:2502.14724
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Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement Learning 7 Feb 2025 · 0 repositories · arXiv:2502.05014
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Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations 27 Jan 2025 · 0 repositories · arXiv:2501.16509
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Optimizing Return Distributions with Distributional Dynamic Programming 22 Jan 2025 · 0 repositories · arXiv:2501.13028
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Perception-Guided EEG Analysis: A Deep Learning Approach Inspired by Level of Detail (LOD) Theory 11 Jan 2025 · 0 repositories · arXiv:2501.10428
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Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning 9 Jan 2025 · 0 repositories · arXiv:2501.05591
Tasks archive 2025-07-28
20 shown of 244 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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