Methods › Reinforcement Learning › Q-Learning Networks › Rainbow DQN
Rainbow DQN
Introduced by Matteo Hessel et al. in Rainbow: Combining Improvements in Deep Reinforcement Learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Rainbow DQN is an extended DQN that combines several improvements into a single learner. Specifically:
- It uses Double Q-Learning to tackle overestimation bias.
- It uses Prioritized Experience Replay to prioritize important transitions.
- It uses dueling networks.
- It uses multi-step learning.
- It uses distributional reinforcement learning instead of the expected return.
- It uses noisy linear layers for exploration.
Papers archive 2025-07-28
9 shown of 9, 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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Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC 6 Nov 2024 · 3 repositories · arXiv:2411.03820Syntology ran 13 of 25 samples · 12 unverified · 21 pointer-only (licence)
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Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks 16 Sep 2022 · 1 repository · arXiv:2209.07670
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DNA: Proximal Policy Optimization with a Dual Network Architecture 20 Jun 2022 · 1 repository · arXiv:2206.10027
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Deep Reinforcement Learning at the Edge of the Statistical Precipice 30 Aug 2021 · 3 repositories · arXiv:2108.13264Syntology ran 5 of 5 samples · 0 unverified
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Weighted Bellman Backups for Improved Signal-to-Noise in Q-Updates 1 Jan 2021 · 0 repositories
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A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward 24 Sep 2020 · 0 repositories · arXiv:2009.11905
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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning 9 Jul 2020 · 1 repository · arXiv:2007.04938
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Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning 30 Apr 2019 · 0 repositories · arXiv:1904.13255
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Rainbow: Combining Improvements in Deep Reinforcement Learning 6 Oct 2017 · 34 repositories · arXiv:1710.02298Syntology ran 2 of 6 samples · 4 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
13 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
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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