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Accumulating Eligibility Trace

15 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

An Accumulating Eligibility Trace is a type of eligibility trace where the trace increments in an accumulative way. For the memory vector eₜ ∈ℝᵇ ≥0:

𝐞₀ = 0

eₜ = ∇v̂(Sₜ, θₜ) + γλeₜ

Papers archive 2025-07-28

15 shown of 15, 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.

Tasks archive 2025-07-28

19 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Starcraft II7
Starcraft6
Reinforcement Learning (RL)5
Reinforcement Learning4
reinforcement-learning4
Decision Making2
AI Agent1
CPU1
Deep Reinforcement Learning1
Diversity1
Hierarchical Reinforcement Learning1
Image Forensics1
Image Manipulation Detection1
Imitation Learning1
Language Modelling1
Large Language Model1
Model Predictive Control1
Offline RL1
Transfer Learning1

Usage over time archive 2025-07-28

Papers per year tagged with Accumulating Eligibility Trace: 2016 to 2025, peak 5 5 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 2 papers 2019 2020: 1 paper 2020 2021: 5 papers 2021 2022: 1 paper 2022 2023: 3 papers 2023 2024: 1 paper 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (15 dated). Bars are counts, not a trend claim.

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

Eligibility Traces

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