Paper Citation Record · LEDGER

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2411.17861.

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

pith.paper-citation-record.v1
2411.17861 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:52:46.731946Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:28:06.474838Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:28:07.394748Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy19
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26a01fb4-8144-45d4-b498-45d2635589e9 · outbound

This paper cites Robustness measures and monitors for time window temporal logic.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Robustness measures and monitors for time window temporal logic

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.562833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b831f535-cec6-4552-8dd3-5d889cac1b20 · outbound

This paper cites Q-learning for robust satisfaction of signal temporal logic specifications.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Q-learning for robust satisfaction of signal temporal logic specifications

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.535758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02c8c338-4d29-4487-baa7-c5d32e88ac3b · outbound

This paper cites u diger Ehlers, Bettina K \.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards u diger Ehlers, Bettina K \

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.502104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 575564f0-34d5-4a2b-a6cb-eb8881e3f4d3 · outbound

This paper cites Temporal-logic-constrained hybrid reinforcement learning to perform optimal aerial monitoring with delivery drones.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Temporal-logic-constrained hybrid reinforcement learning to perform optimal aerial monitoring with delivery drones

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.478714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f82c5e7-bdc9-4640-ba75-73677b8c7b4c · outbound

This paper cites Principles of model checking.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Principles of model checking

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.455806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46279274-41d4-4a85-be1c-63164cd10115 · outbound

This paper cites Structured reward shaping using signal temporal logic specifications.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Structured reward shaping using signal temporal logic specifications

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.431795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 507a73d9-7d7b-45a8-961e-1653a957f7cb · outbound

This paper cites Efficient online reinforcement learning with offline data.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Efficient online reinforcement learning with offline data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.561945Z

Source-reported events for the cited work

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Observation 140370b8-4ab6-4a8c-bfd8-1f734537dc12 · outbound

This paper cites Overcoming exploration: Deep reinforcement learning for continuous control in cluttered environments from temporal logic specifications.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Overcoming exploration: Deep reinforcement learning for continuous control in cluttered environments from temporal logic specifications

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.392580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f49832c-82b9-4a68-8481-deeebed5c022 · outbound

This paper cites Provably efficient exploration in policy optimization.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Provably efficient exploration in policy optimization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.365131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 074d7896-4186-4531-a08c-f8cb89d001db · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Decision transformer: Reinforcement learning via sequence modeling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.586476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a71427fb-82c6-4d19-a888-d51377e037bc · outbound

This paper cites Mirror learning: A unifying framework of policy optimisation.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Mirror learning: A unifying framework of policy optimisation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.325509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a537d976-ec31-47ec-a8b5-e08437152fc5 · outbound

This paper cites Imitation Bootstrapped Reinforcement Learning.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Imitation Bootstrapped Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.600129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315a9cc6-2786-4d74-b15d-c7d494085f9f · outbound

This paper cites A tutorial on mm algorithms.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards A tutorial on mm algorithms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.300989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abb12aef-0a87-4c8d-8847-37421b20b81b · outbound

This paper cites Reward machines: Exploiting reward function structure in reinforcement learning.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Reward machines: Exploiting reward function structure in reinforcement learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.612212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19539de4-6464-4d0d-917a-110a92845c3b · outbound

This paper cites Approximately optimal approximate reinforcement learning.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Approximately optimal approximate reinforcement learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.617397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99c3e8f-28c8-4e46-b47c-e89d8c6d131c · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Conservative q-learning for offline reinforcement learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.624935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a87e66-ffdd-4134-b9d5-5cb559e10415 · outbound

This paper cites Reinforcement learning with temporal logic rewards.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Reinforcement learning with temporal logic rewards

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.229610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70a1a7f9-d3d9-4b9e-a01d-af8814f4e334 · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.637160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0547adb5-2f2c-43f0-a5c7-d748303d54f0 · outbound

This paper cites Advice-guided reinforcement learning in a non-markovian environment.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Advice-guided reinforcement learning in a non-markovian environment

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.193723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba6f8e0c-4952-4f05-bafb-8bad039f17c5 · outbound

This paper cites Policy invariance under reward transformations: Theory and application to reward shaping.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Policy invariance under reward transformations: Theory and application to reward shaping

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.163130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9675e615-6219-4b16-8b3d-31c0b35025b3 · outbound

This paper cites Implicit human perception learning in complex and unknown environments.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Implicit human perception learning in complex and unknown environments

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.129012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d61732d2-32ce-49e4-ab93-009ff1927aae · outbound

This paper cites Agnostic system identification for model-based reinforcement learning.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Agnostic system identification for model-based reinforcement learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.106305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4932ad35-cd2e-4111-a6f4-7adc7d0841c7 · outbound

This paper cites Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.083880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8228c20-aed5-48aa-86a2-167f48d9e72f · outbound

This paper cites Kickstarting Deep Reinforcement Learning.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Kickstarting Deep Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.677141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cfa168b-e794-4500-9c49-3ef6bf4068e7 · outbound

This paper cites Trust region policy optimization.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Trust region policy optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:47.060838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c9d8d462-38ba-43fd-9fda-13a0da0b570a · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.695180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9734904f-ca20-45c8-9a93-1ba29d8df102 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Proximal Policy Optimization Algorithms

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.701697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af193ef4-b9b9-412f-aea1-c2643a4c53c6 · outbound

This paper cites Reinforcement learning: An introduction.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Reinforcement learning: An introduction

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.714546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0d99f7-56a0-45ca-af40-07e6a58348ca · outbound

This paper cites an unresolved cited work.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:52:47.005125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b05f1c8-2b1c-425d-b52e-2168edbf0018 · outbound

This paper cites Time window temporal logic.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Time window temporal logic

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:46.971335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 970abbdd-c3a1-4355-b40e-bdf92c9c81c6 · outbound

This paper cites Joint inference of reward machines and policies for reinforcement learning.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Joint inference of reward machines and policies for reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:52:46.925300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 8ff85624-1885-40b4-9c98-286e164ae58a · inbound

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins cites this paper.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:28:07.444921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.