Paper Citation Record · LEDGER

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.02974.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.02974 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:35:06.467808Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact2
verified fuzzy15
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09c5d78e-f803-48ea-8663-7b9bb9ef6764 · outbound

This paper cites Deep learning in neural networks: An overview,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Deep learning in neural networks: An overview,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.314800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc91f58d-07c0-4de5-922c-bf617ffa6600 · outbound

This paper cites Learning from delayed rewards,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Learning from delayed rewards,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.320284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 851ba975-5cf5-4a77-95b1-5757ba5ed4e2 · outbound

This paper cites Improving elevator performance using reinforcement learning,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Improving elevator performance using reinforcement learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:07.024763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2be3ae16-b687-43a3-9431-3053f9069d61 · outbound

This paper cites Effective reinforcement learning for mobile robots,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Effective reinforcement learning for mobile robots,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:07.009099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a8e4c10c-ff67-4973-b87a-1b1ba158d44b · outbound

This paper cites Ensemble algorithms in reinforce- ment learning,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Ensemble algorithms in reinforce- ment learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.993537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4c7e66c-3751-4aa5-9007-da717b78af29 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Playing Atari with Deep Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.340401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fc2ebe3-f946-4eee-ae8e-7a2e9edbb861 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Human-level control through deep reinforcement learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.345379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4b17a2f-3679-4b36-b352-12c2fd7858e7 · outbound

This paper cites Deep reinforcement learning with double q-learning,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Deep reinforcement learning with double q-learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.969639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 257ccf5f-d67a-43be-a84b-bac58e9aa742 · outbound

This paper cites Continuous control with deep reinforcement learning.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Continuous control with deep reinforcement learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.360917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da4ad92-648a-4cf4-8d61-557ac4f2bb25 · outbound

This paper cites Asynchronous methods for deep rein- forcement learning,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Asynchronous methods for deep rein- forcement learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.364812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3849ea-56ec-4ffe-bda1-f5224f017a65 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Proximal Policy Optimization Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.368950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb6c34c-004c-42a3-8740-e590d392d828 · outbound

This paper cites A novel off policy q (λ) algorithm based on linear function approximation,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods A novel off policy q (λ) algorithm based on linear function approximation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.933545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e3ccfbf-7c80-4fb5-9f6a-91bcedc569fb · outbound

This paper cites Reinforcement learning in robotics: A survey,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Reinforcement learning in robotics: A survey,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.378489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed0b723-e6ce-43f8-9f2a-be65d1340619 · outbound

This paper cites A reinforcement learning-based approach to dynamic job-shop scheduling,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods A reinforcement learning-based approach to dynamic job-shop scheduling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.909397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b1888d8-4e71-45c2-9655-70f2c5b0232c · outbound

This paper cites Self-optimizing memory controllers: A reinforcement learning approach,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Self-optimizing memory controllers: A reinforcement learning approach,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.891950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4360de04-1dcd-4a0a-85ae-82d7b335812a · outbound

This paper cites Td-gammon, a self-teaching backgammon program, achieves master-level play,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Td-gammon, a self-teaching backgammon program, achieves master-level play,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.870878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4617aa21-3072-4a79-9de8-5173a4bc3a27 · outbound

This paper cites Bandit based monte-carlo planning,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Bandit based monte-carlo planning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.398849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9401d985-0b6b-46bc-af2b-3f40faf78d0d · outbound

This paper cites Mastering the game of go with deep neural networks and tree search,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Mastering the game of go with deep neural networks and tree search,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.846765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c8fc3aa-531a-4b56-8da1-09ec7f9f24e6 · outbound

This paper cites Bench- marking deep reinforcement learning for continuous control,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Bench- marking deep reinforcement learning for continuous control,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.408620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1f8f73-8794-4a6a-9855-3e2384c615f4 · outbound

This paper cites Continuous deep q- learning with model-based acceleration,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Continuous deep q- learning with model-based acceleration,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.956238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2558e0f1-2d99-4b59-a1e3-f045f59809e7 · outbound

This paper cites Using Deep Q-Learning to Control Optimization Hyperparameters.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Using Deep Q-Learning to Control Optimization Hyperparameters

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:35:06.556361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99c4b14f-e4ca-4235-9109-aeb5b446ceff · outbound

This paper cites Learning to learn by gradient descent by gradient descent,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Learning to learn by gradient descent by gradient descent,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.423048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3665650d-4c9b-4c27-b92f-7c4ecc86d5db · outbound

This paper cites Action-conditional video prediction using deep networks in atari games,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Action-conditional video prediction using deep networks in atari games,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.819445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed8dc05f-93dc-49a8-ac03-5073c6bb34be · outbound

This paper cites Active object localization with deep reinforcement learning,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Active object localization with deep reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.804452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ac60bf2-2d4a-4ae0-877d-965ec105aa91 · outbound

This paper cites Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.436953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50eae923-686f-4583-9cf0-8d9b8bc7a9bb · outbound

This paper cites Oksendal, Stochastic differential equations: an introduction with applications.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Oksendal, Stochastic differential equations: an introduction with applications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T14:35:06.442675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8282875-9d88-4169-b6ab-7f39ccce3f63 · outbound

This paper cites A deep reinforcement learning approach to preserve connectivity for multi-robot systems,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods A deep reinforcement learning approach to preserve connectivity for multi-robot systems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.782201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f5e919f-65bb-4be7-a2f0-b891819eeeaa · outbound

This paper cites Maximum likelihood estimation for the drift parameter in diffusion processes,.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Maximum likelihood estimation for the drift parameter in diffusion processes,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.760802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1164fc8-31b2-4f64-8058-fea620ebcd5c · outbound

This paper cites Gilbarg and N.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Gilbarg and N

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:35:06.615530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec7c853e-8a99-4ea5-9ec8-c245d7c0b55e · outbound

This paper cites Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning.

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:35:06.517208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.