Methods › Reinforcement Learning › Value Function Estimation › Retrace
Retrace
Introduced by Rémi Munos et al. in Safe and Efficient Off-Policy Reinforcement Learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Retrace is an off-policy Q-value estimation algorithm which has guaranteed convergence for a target and behaviour policy (π, β). With off-policy rollout for TD learning, we must use importance sampling for the update:
ΔQⁱᵐᵖ(Sₜ, Aₜ) = γᵗ∏_(1≤τ≤t)(π(A_τ|S_τ))/(β(A_τ|S_τ))δₜ
This product term can lead to high variance, so Retrace modifies ΔQ to have importance weights truncated by no more than a constant c:
ΔQⁱᵐᵖ(Sₜ, Aₜ) = γᵗ∏_(1≤τ≤t)min(c, (π(A_τ|S_τ))/(β(A_τ|S_τ)))δₜ
Papers archive 2025-07-28
30 shown of 31, 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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UI-Evol: Automatic Knowledge Evolving for Computer Use Agents 28 May 2025 · 0 repositories · arXiv:2505.21964
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Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research 25 Feb 2025 · 0 repositories · arXiv:2503.05770
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Dynamics of Resource Allocation in O-RANs: An In-depth Exploration of On-Policy and Off-Policy Deep Reinforcement Learning for Real-Time Applications 17 Nov 2024 · 0 repositories · arXiv:2412.01839
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IDRetracor: Towards Visual Forensics Against Malicious Face Swapping 13 Aug 2024 · 0 repositories · arXiv:2408.06635
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Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues 12 Apr 2024 · 3 repositories · arXiv:2404.08450
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Off-policy Distributional Q(λ): Distributional RL without Importance Sampling 8 Feb 2024 · 0 repositories · arXiv:2402.05766
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Network-thinking to optimize surveillance and control of crop parasites. A review 11 Oct 2023 · 0 repositories · arXiv:2310.07442
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Distributional Estimation of Data Uncertainty for Surveillance Face Anti-spoofing 18 Sep 2023 · 0 repositories · arXiv:2309.09485
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PDVN: A Patch-based Dual-view Network for Face Liveness Detection using Light Field Focal Stack 17 Jan 2023 · 0 repositories
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AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning 28 Nov 2022 · 0 repositories · arXiv:2211.15023
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Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments 4 Jul 2022 · 0 repositories · arXiv:2207.01251
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Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading 13 Jun 2022 · 0 repositories · arXiv:2206.05910
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Bias-inducing geometries: an exactly solvable data model with fairness implications 31 May 2022 · 0 repositories · arXiv:2205.15935
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Deep Learning with Logical Constraints 1 May 2022 · 0 repositories · arXiv:2205.00523
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Is Word Error Rate a good evaluation metric for Speech Recognition in Indic Languages? 30 Mar 2022 · 0 repositories · arXiv:2203.16601
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Marginalized Operators for Off-policy Reinforcement Learning 30 Mar 2022 · 0 repositories · arXiv:2203.16177
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Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions 23 Dec 2021 · 0 repositories · arXiv:2112.12281
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Learning Reward Machines: A Study in Partially Observable Reinforcement Learning 17 Dec 2021 · 0 repositories · arXiv:2112.09477
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Human Languages with Greater Information Density Increase Communication Speed, but Decrease Conversation Breadth 15 Dec 2021 · 0 repositories · arXiv:2112.08491
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Dynamics of the market states in the space of correlation matrices with applications to financial markets 12 Jul 2021 · 0 repositories · arXiv:2107.05663
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A-DeepPixBis: Attentional Angular Margin for Face Anti-Spoofing 1 Mar 2021 · 0 repositories
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[Re] Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention 6 Dec 2020 · 1 repository
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Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data 20 Dec 2019 · 0 repositories · arXiv:1912.09595
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Learning Reward Machines for Partially Observable Reinforcement Learning 1 Dec 2019 · 1 repository
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Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning 18 Jun 2019 · 0 repositories · arXiv:1906.07586
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Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target 22 Jan 2019 · 1 repository · arXiv:1901.07510
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Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces 11 Feb 2018 · 0 repositories · arXiv:1802.03753
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Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations 31 Jan 2018 · 0 repositories · arXiv:1801.10459
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The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning 15 Apr 2017 · 0 repositories · arXiv:1704.04651
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Sample Efficient Actor-Critic with Experience Replay 3 Nov 2016 · 7 repositories · arXiv:1611.01224Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
20 shown of 38 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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