Paper Citation Record · LEDGER

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.03372.

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

pith.paper-citation-record.v1
2507.03372 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:25:09.694462Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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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

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 98c75044-eebe-4946-94c5-7ce03341af9d · outbound

This paper cites Reinforcement learning based recommender systems: A survey.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Reinforcement learning based recommender systems: A survey

Reference 1

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Observation 9c0cddd7-2873-4880-b392-cd6d4553824d · outbound

This paper cites Safe learning in robotics: From learning-based control to safe reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Safe learning in robotics: From learning-based control to safe reinforcement learning

Reference 2

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This paper cites Certifiable robustness to adversarial state uncertainty in deep reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Certifiable robustness to adversarial state uncertainty in deep reinforcement learning

Reference 3

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This paper cites Maximum entropy RL (provably) solves some robust RL problems.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Maximum entropy RL (provably) solves some robust RL problems

Reference 4

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Observation 7d63bf7e-49bc-4d6c-b52e-e2b52d525f58 · outbound

This paper cites Online Robustness Training for Deep Reinforcement Learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Online Robustness Training for Deep Reinforcement Learning

Reference 5

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Observation 9943ad94-02b5-4333-bd8c-c41cc21ea8b6 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 6

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Observation dbc958f2-f026-4e4a-ba4b-5ff51183c325 · outbound

This paper cites Addressing function approximation error in actor-critic methods.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Addressing function approximation error in actor-critic methods

Reference 7

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Observation 1cba9500-13f1-4507-9147-7826c7103d52 · outbound

This paper cites an unresolved cited work.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Unresolved cited work

Reference 8

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Observation 2dcf1263-1545-4cc2-b7d7-93d9f92998be · outbound

This paper cites Adversarial Attacks on Neural Network Policies.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Adversarial Attacks on Neural Network Policies

Reference 9

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Observation 9a6075f1-d532-4554-b8a6-80ae8c4bdf95 · outbound

This paper cites The 37 implementation details of proximal policy optimization.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization The 37 implementation details of proximal policy optimization

Reference 10

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Observation 53f44c71-7d3a-441d-b1aa-caa90f6f63e8 · outbound

This paper cites Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Cleanrl: High-quality single-file implementations of deep reinforcement learning algorithms

Reference 11

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Observation e464de02-4f51-4883-a397-cc3af2a83e52 · outbound

This paper cites Challenges and countermeasures for adversarial attacks on deep reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Challenges and countermeasures for adversarial attacks on deep reinforcement learning

Reference 12

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Observation a3cfaeaf-d03f-4b78-af8a-57a8459b7479 · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Learning quadrupedal locomotion over challenging terrain

Reference 13

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Observation 44e43070-404d-4db8-bdd2-7d4cb313cc98 · outbound

This paper cites Spatiotem- porally constrained action space attacks on deep reinforcement learning agents.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Spatiotem- porally constrained action space attacks on deep reinforcement learning agents

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:25:14.094582Z

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Observation a10a8786-ad85-484e-b1cc-423d7da93dcb · outbound

This paper cites Efficient adversarial training without attacking: Worst-case-aware robust reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Efficient adversarial training without attacking: Worst-case-aware robust reinforcement learning

Reference 15

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Observation 0b0ba7e6-65fc-4a8d-b3a3-8a788f77ac76 · outbound

This paper cites Provably efficient black-box action poisoning attacks against reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Provably efficient black-box action poisoning attacks against reinforcement learning

Reference 16

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Observation c7fdbf05-08ce-4686-8335-78b600678f61 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Towards deep learning models resistant to adversarial attacks

Reference 17

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Observation c0c52c15-98af-43dc-b174-6a9692e6d100 · outbound

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

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Human-level control through deep reinforcement learning

Reference 18

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Observation 47840ea9-ebe9-4d31-a407-a54d4a0d794d · outbound

This paper cites Robust reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Robust reinforcement learning

Reference 19

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Observation 87f4595a-ac59-4e40-88b9-c9c7c1bd5633 · outbound

This paper cites Assessing transferability from simulation to reality for reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Assessing transferability from simulation to reality for reinforcement learning

Reference 20

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Observation 0d15a0f3-b53f-4456-b67d-291feaba836a · outbound

This paper cites Robust deep reinforcement learning through adversarial loss.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Robust deep reinforcement learning through adversarial loss

Reference 21

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Observation e6659db3-eda5-44b5-b5d2-b16b34babfa5 · outbound

This paper cites Characterizing attacks on deep reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Characterizing attacks on deep reinforcement learning

Reference 22

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Observation 3815608d-00c1-4f3d-b6af-766565bfedc9 · outbound

This paper cites Policy teaching via environment poisoning: Training-time adversarial attacks against reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Policy teaching via environment poisoning: Training-time adversarial attacks against reinforcement learning

Reference 23

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Observation 94d03389-a69b-4bc9-b3ad-29fe3d273a85 · outbound

This paper cites The security of autonomous driving: Threats, defenses, and future directions.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization The security of autonomous driving: Threats, defenses, and future directions

Reference 24

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This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Learning to walk in minutes using massively parallel deep reinforcement learning

Reference 25

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Observation 3611f0eb-36b1-410b-b54d-49b501b96fe0 · outbound

This paper cites Improving robotic machining accuracy through experimental error investigation and modular compensation.The International Journal of Advanced Manufacturing Technology, 85:3–15, 2016.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Improving robotic machining accuracy through experimental error investigation and modular compensation.The International Journal of Advanced Manufacturing Technology, 85:3–15, 2016

Reference 26

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Observation a7d3b7ca-75f7-4bcf-8e53-e080d83928f5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Proximal Policy Optimization Algorithms

Reference 27

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This paper cites Towards facilitating empathic conversations in online mental health support: A reinforcement learning approach.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Towards facilitating empathic conversations in online mental health support: A reinforcement learning approach

Reference 28

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Observation b967c140-f346-4417-b157-dbb834955c42 · outbound

This paper cites Certifiably robust policy learning against adversarial multi-agent communication.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Certifiably robust policy learning against adversarial multi-agent communication

Reference 29

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This paper cites Certifiably robust policy learning against adversarial multi-agent communication.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Certifiably robust policy learning against adversarial multi-agent communication

Reference 30

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This paper cites Who is the strongest enemy? towards optimal and efficient evasion attacks in deep RL.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Who is the strongest enemy? towards optimal and efficient evasion attacks in deep RL

Reference 31

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This paper cites Reinforcement learning: An introduction.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Reinforcement learning: An introduction

Reference 32

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This paper cites Action robust reinforcement learning and applications in continuous control.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Action robust reinforcement learning and applications in continuous control

Reference 33

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This paper cites Mujoco: A physics engine for model-based control.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Mujoco: A physics engine for model-based control

Reference 34

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This paper cites Policy gradient method for robust reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Policy gradient method for robust reinforcement learning

Reference 35

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This paper cites CROP: Certify- ing robust policies for reinforcement learning through functional smoothing.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization CROP: Certify- ing robust policies for reinforcement learning through functional smoothing

Reference 36

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This paper cites Robust deep reinforcement learning through bootstrapped opportunistic curriculum.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Robust deep reinforcement learning through bootstrapped opportunistic curriculum

Reference 37

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This paper cites Taac: Temporally abstract actor-critic for continuous control.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Taac: Temporally abstract actor-critic for continuous control

Reference 38

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Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Gradient surgery for multi-task learning

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This paper cites Robust reinforcement learning on state observations with learned optimal adversary.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Robust reinforcement learning on state observations with learned optimal adversary

Reference 40

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Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Robust deep reinforcement learning against adversarial perturbations on state observations

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:25:10.429921Z

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This paper cites Adaptive reward-poisoning attacks against reinforcement learning.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Adaptive reward-poisoning attacks against reinforcement learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:25:10.215720Z

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This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Sim-to-real transfer in deep reinforcement learning for robotics: a survey

Reference 43

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This paper cites Cadre: A cascade deep reinforcement learning framework for vision-based autonomous urban driving.

Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization Cadre: A cascade deep reinforcement learning framework for vision-based autonomous urban driving

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:25:09.926141Z

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Pith citing papers

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