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Methods › Reinforcement Learning › Policy Gradient Methods › REINFORCE

REINFORCE

introduced 1999 185 papers tagged archive 2025-07-28

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

REINFORCE is a Monte Carlo variant of a policy gradient algorithm in reinforcement learning. The agent collects samples of an episode using its current policy, and uses it to update the policy parameter θ. Since one full trajectory must be completed to construct a sample space, it is updated as an off-policy algorithm.

∇_θJ(θ) = 𝔼_π[Gₜ∇_θlnπ_θ(Aₜ|Sₜ)]

Image Credit: Tingwu Wang

Papers archive 2025-07-28

30 shown of 185, 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

20 shown of 167 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
Reinforcement Learning (RL)59
Reinforcement Learning43
reinforcement-learning42
Neural Architecture Search19
Policy Gradient Methods16
Deep Reinforcement Learning12
Text Generation9
Diversity8
Sentence8
Image Classification7
Q-Learning7
Question Answering7
Decision Making6
GPU6
Image Captioning5
Machine Translation5
Recommendation Systems5
Translation5
image-classification5
Bayesian Optimization4

Usage over time archive 2025-07-28

Papers per year tagged with REINFORCE: 2011 to 2025, peak 31 31 0 2011: 1 paper 2011 2012: 0 papers 2013: 1 paper 2013 2014: 0 papers 2015: 1 paper 2015 2016: 6 papers 2017: 9 papers 2017 2018: 18 papers 2019: 18 papers 2019 2020: 31 papers 2021: 30 papers 2021 2022: 20 papers 2023: 20 papers 2023 2024: 16 papers 2025: 14 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (185 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

Policy Gradient Methods

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