Paper Citation Record · LEDGER

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2509.09208.

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

pith.paper-citation-record.v1
2509.09208 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:35:33.330106Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation 95a53441-1ef7-442e-bc2a-cb941902f988 · outbound

This paper cites Constrained policy optimiza- tion.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Constrained policy optimiza- tion

Reference 1

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Observation 52a8f122-addf-4e2d-b04a-435b0103722e · outbound

This paper cites We also conducted experi- ments using the MetaDrive simulator [Liet al., 2022 ].

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning We also conducted experi- ments using the MetaDrive simulator [Liet al., 2022 ]

Reference 2

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Observation 92f6143e-f2d5-46ba-81f8-651d4a92e068 · outbound

This paper cites Risk-constrained reinforcement learning with percentile risk criteria.Journal of Machine Learning Research, 18(167):1–51,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Risk-constrained reinforcement learning with percentile risk criteria.Journal of Machine Learning Research, 18(167):1–51,

Reference 4

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Observation eb978cd1-26c8-4385-b799-bdafa0f612b5 · outbound

This paper cites A general safety framework for learning-based control in uncertain robotic systems.IEEE Transactions on Automatic Control, 64(7):2737–2752,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning A general safety framework for learning-based control in uncertain robotic systems.IEEE Transactions on Automatic Control, 64(7):2737–2752,

Reference 9

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Observation 66e6ae51-5f20-428c-9742-dab8e260c8b0 · outbound

This paper cites Exterior penalty pol- icy optimization with penalty metric network under con- straints.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Exterior penalty pol- icy optimization with penalty metric network under con- straints

Reference 10

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Observation 68734fb2-01db-4e23-bae1-dec886263353 · outbound

This paper cites Omnisafe: An infrastructure for accelerating safe reinforcement learn- ing research.Journal of Machine Learning Research, 25(285):1–6,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Omnisafe: An infrastructure for accelerating safe reinforcement learn- ing research.Journal of Machine Learning Research, 25(285):1–6,

Reference 13

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Observation 328d2aea-eae0-4ec4-8c95-871cb8c32ff6 · outbound

This paper cites Doubly ro- bust off-policy value evaluation for reinforcement learn- ing.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Doubly ro- bust off-policy value evaluation for reinforcement learn- ing

Reference 14

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Observation 252ec687-fbce-4651-8963-c9ce3940e728 · outbound

This paper cites End-to-end training of deep visuomotor policies.Journal of Machine Learning Re- search, 17(39):1–40,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning End-to-end training of deep visuomotor policies.Journal of Machine Learning Re- search, 17(39):1–40,

Reference 17

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Observation 93993193-d870-47b0-916b-140b5c9eeec9 · outbound

This paper cites Metadrive: Composing diverse driving scenarios for generalizable re- inforcement learning.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 45(3):3461–3475,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Metadrive: Composing diverse driving scenarios for generalizable re- inforcement learning.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 45(3):3461–3475,

Reference 18

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Observation 92526f50-13b8-4949-bc85-2053192b2e3a · outbound

This paper cites Ipo: Interior-point policy optimization under constraints.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Ipo: Interior-point policy optimization under constraints

Reference 19

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Observation 03155a60-652d-48d2-a8f3-1b2858e230cc · outbound

This paper cites The law and ethics of high-frequency trading.Minn.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning The law and ethics of high-frequency trading.Minn

Reference 20

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Observation 4316231b-44a0-4c3d-a49f-dcffc2de81c3 · outbound

This paper cites Chance-constrained dynamic pro- gramming with application to risk-aware robotic space ex- ploration.Autonomous Robots, 39:555–571,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Chance-constrained dynamic pro- gramming with application to risk-aware robotic space ex- ploration.Autonomous Robots, 39:555–571,

Reference 21

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Observation 1598ab19-b2c5-43fb-82f7-c67e9faca4b6 · outbound

This paper cites Benchmarking Batch Deep Reinforcement Learning Algorithms.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Benchmarking Batch Deep Reinforcement Learning Algorithms

Reference 22

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Observation 59ee5433-572a-4d72-bcd9-7fc6a633777e · outbound

This paper cites Trust Region Policy Optimization.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Trust Region Policy Optimization

Reference 24

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Observation d20978f6-ef78-4a88-9f84-250785906017 · outbound

This paper cites Responsive safety in reinforcement learn- ing by pid lagrangian methods.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Responsive safety in reinforcement learn- ing by pid lagrangian methods

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T19:35:33.296483Z

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Observation 1e281c07-29d1-42fe-9fe2-7bc6451d9406 · outbound

This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 26

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Observation 89af7791-721c-43ec-81d8-3ff9c9f8001b · outbound

This paper cites MIT press,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning MIT press,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T19:35:33.301563Z

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Observation 0af87724-2aea-4df1-b2ed-7a98700a2a8c · outbound

This paper cites Reward constrained policy optimization.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Reward constrained policy optimization

Reference 28

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Observation 3da88d1b-5293-4cf6-a9c3-8a68470baecf · outbound

This paper cites Projection- based constrained policy optimization.International Conference on Learning Representations,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Projection- based constrained policy optimization.International Conference on Learning Representations,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T19:35:33.306999Z

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Observation 2b6ffabd-050d-47bf-a739-c4ea6c7affe7 · outbound

This paper cites Constrained update projection approach to safe policy optimization.Advances in Neural Information Pro- cessing Systems, 35:9111–9124,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Constrained update projection approach to safe policy optimization.Advances in Neural Information Pro- cessing Systems, 35:9111–9124,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T19:35:33.309374Z

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Observation b3188aa4-c4f0-41ca-a5ba-8d013d383bcf · outbound

This paper cites Convergent policy optimization for safe reinforcement learning.Advances in Neural Information Processing Systems, 32,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Convergent policy optimization for safe reinforcement learning.Advances in Neural Information Processing Systems, 32,

Reference 31

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Observation 700e0552-a5f6-4792-93ef-7b4799ff5700 · outbound

This paper cites Reinforcement learning in healthcare: A survey.ACM Computing Surveys (CSUR), 55(1):1–36,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Reinforcement learning in healthcare: A survey.ACM Computing Surveys (CSUR), 55(1):1–36,

Reference 32

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Observation 8c4942c9-1fbf-44c3-8412-807359aa70f2 · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games.Advances in Neural Information Processing Sys- tems, 35:24611–24624,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning The surprising effectiveness of ppo in cooperative multi-agent games.Advances in Neural Information Processing Sys- tems, 35:24611–24624,

Reference 33

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Observation aa8c2496-165a-4616-8029-4d8d2ffdb9ff · outbound

This paper cites First order constrained optimization in policy space.Advances in Neural Information Processing Sys- tems, 33:15338–15349,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning First order constrained optimization in policy space.Advances in Neural Information Processing Sys- tems, 33:15338–15349,

Reference 34

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Observation bb8119d5-a7cb-4654-81f8-785fa9f46316 · outbound

This paper cites Penalized proximal policy optimization for safe rein- forcement learning.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Penalized proximal policy optimization for safe rein- forcement learning

Reference 35

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Observation 90ad360b-aae8-4b5f-9216-ebe30b0d1246 · outbound

This paper cites Evaluating model-free reinforcement learning toward safety-critical tasks.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Evaluating model-free reinforcement learning toward safety-critical tasks

Reference 36

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Observation 5d9a9963-f392-473d-8c3f-0aba7a6b5bd4 · outbound

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Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Unresolved cited work

Reference 37

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Observation a380bf07-c3c3-4ec8-ae61-ac568aa8ef55 · outbound

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Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Unresolved cited work

Reference 38

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Observation b9ebec16-e3f4-49ef-88fc-7a321e6128bc · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey.IEEE Transactions on In- telligent Transportation Systems, 23(6):4909–4926,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Deep reinforcement learning for autonomous driving: A survey.IEEE Transactions on In- telligent Transportation Systems, 23(6):4909–4926,

Reference 2002

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Observation 2fae1680-ee90-429f-8558-5b3e8b73d0a9 · outbound

This paper cites Augmented proximal policy op- timization for safe reinforcement learning.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Augmented proximal policy op- timization for safe reinforcement learning

Reference 2015

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Observation a952f2ee-ef59-40ac-a35e-c9e192aad329 · outbound

This paper cites Approximately optimal approximate reinforcement learning.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Approximately optimal approximate reinforcement learning

Reference 2016

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Observation f0d0627e-ccd6-4b22-a505-a29acc84d432 · outbound

This paper cites Routledge,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Routledge,

Reference 2017

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Observation b407b949-5a32-4bfd-bf24-2a9058e53444 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 2018

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Observation 810483af-9f18-4f90-9d26-a9093c06bbea · outbound

This paper cites Proximal Policy Optimization Algorithms.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 2019

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Observation d54d7a10-f8a2-4646-8b43-a66f2cf5d361 · outbound

This paper cites Trustworthy artificial intelligence requirements in the autonomous driving domain.Computer, 56(2):29–39,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Trustworthy artificial intelligence requirements in the autonomous driving domain.Computer, 56(2):29–39,

Reference 2020

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Observation 028dc12d-cf81-4fe9-9fea-c2e75bbae4e8 · outbound

This paper cites Continuously Differentiable Exponential Linear Units.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Continuously Differentiable Exponential Linear Units

Reference 2021

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Observation 67742a80-741a-421e-9d6b-3ffee382841c · outbound

This paper cites Safety gymna- sium: A unified safe reinforcement learning benchmark.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Safety gymna- sium: A unified safe reinforcement learning benchmark

Reference 2022

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Observation 17694841-25c3-4539-942b-48e915c3b10d · outbound

This paper cites Natural policy gradient primal-dual method for constrained markov decision pro- cesses.Advances in Neural Information Processing Sys- tems, 33:8378–8390,.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Natural policy gradient primal-dual method for constrained markov decision pro- cesses.Advances in Neural Information Processing Sys- tems, 33:8378–8390,

Reference 2023

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Observation 440be212-e38c-4ca0-a9a5-d1b7712cbf71 · outbound

This paper cites Bullet-safety-gym: A framework for constrained reinforcement learning.

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning Bullet-safety-gym: A framework for constrained reinforcement learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T19:35:33.263507Z

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