SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning | Paper Citation Record

Observation c349b77e-068d-4cca-92bf-515ec005a4b1 · outbound

This paper cites A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data

Reference 1

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Observation 9aba3bb3-af68-4754-8858-d969f65a1029 · outbound

This paper cites Advanced PID control.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Advanced PID control

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:27:39.213747Z

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Observation 9c7f80c5-7dd9-49d8-b555-71f9eebd0cf5 · outbound

This paper cites A Survey on Physics Informed Reinforcement Learning: Review and Open Problems.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning A Survey on Physics Informed Reinforcement Learning: Review and Open Problems

Reference 3

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Observation 1fff2f63-b0cd-441d-b764-9518f286da66 · outbound

This paper cites Prototype-based models in machine learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Prototype-based models in machine learning

Reference 4

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Observation 99a50a8e-026c-41c2-9751-c5f8bf00e804 · outbound

This paper cites OpenAI Gym.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning OpenAI Gym

Reference 5

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Observation 193896f4-e404-4c88-9e01-94bbffa55f4f · outbound

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

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Safe learning in robotics: From learning-based control to safe reinforcement learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:27:39.227931Z

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Observation 78347013-2f85-4614-955f-348ca4567532 · outbound

This paper cites Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:27:39.206862Z

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Observation 75c2705b-f772-4424-b21b-6d03f03a8284 · outbound

This paper cites Physics-guided reinforcement learning for 3d molecular structures.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Physics-guided reinforcement learning for 3d molecular structures

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:27:39.223810Z

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Observation 13d5793c-50ea-4179-a14b-de9c5597d2fb · outbound

This paper cites Interpretable and explainable logical policies via neurally guided symbolic abstraction.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Interpretable and explainable logical policies via neurally guided symbolic abstraction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:27:39.220590Z

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Observation cf3f62af-8e64-44e6-82c1-c3faa4714998 · outbound

This paper cites Benchmarking deep reinforcement learning for continuous control.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Benchmarking deep reinforcement learning for continuous control

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:27:39.217098Z

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Observation 452c511d-c0eb-4c31-a4eb-46580ba0df12 · outbound

This paper cites Stochastic Neural Networks for Hierarchical Reinforcement Learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Stochastic Neural Networks for Hierarchical Reinforcement Learning

Reference 11

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Observation 42e2581d-16fd-4479-a537-b93a5ecba98e · outbound

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

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Addressing function approximation error in actor-critic methods

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.059358Z

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Observation 59520c8e-b53d-4969-9b98-f0f8883c0280 · outbound

This paper cites A review on deep reinforcement learning for fluid mechanics.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning A review on deep reinforcement learning for fluid mechanics

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.068772Z

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Observation a23a2301-0777-4cbe-8267-963e3de7cccf · outbound

This paper cites A survey on interpretable reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning A survey on interpretable reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.065689Z

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Observation 45e0ea0e-23d8-46d1-9386-63ffcc1031b2 · outbound

This paper cites A review of safe reinforcement learning: Methods, theories and applications.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning A review of safe reinforcement learning: Methods, theories and applications

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.062653Z

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Observation 9ea5faa5-7b7b-47b1-ba71-c7c5ef92175a · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.055832Z

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Observation 85d132cd-be19-4642-9330-7d1f415da506 · outbound

This paper cites Actor-critic reinforcement learning for control with stability guarantee.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Actor-critic reinforcement learning for control with stability guarantee

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.052144Z

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Observation 4a7c7343-8297-4b67-8bb9-f6243bf2b358 · outbound

This paper cites Interpretable policies for reinforcement learning by genetic programming.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Interpretable policies for reinforcement learning by genetic programming

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.048364Z

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Observation 65b6fbef-d9cf-4f5a-8006-af75285c1226 · outbound

This paper cites Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.044188Z

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Observation 419e37fd-206d-48c2-9583-6d85224512f5 · outbound

This paper cites Explainability in deep reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Explainability in deep reinforcement learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.040692Z

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Observation f1562c10-7e9b-431e-8c19-f9afbd018edd · outbound

This paper cites Neural logic reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Neural logic reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.037576Z

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Observation c72a680b-fde3-4dc6-a0b2-379657e7f048 · outbound

This paper cites Stability-certified reinforcement learning: A control-theoretic perspective.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Stability-certified reinforcement learning: A control-theoretic perspective

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.033775Z

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Observation e90ed270-e90f-43e9-9d23-fbd646d55c56 · outbound

This paper cites Creativity of ai: Automatic symbolic option discovery for facilitating deep reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Creativity of ai: Automatic symbolic option discovery for facilitating deep reinforcement learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.029973Z

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Observation be0d59e4-5a91-4cb2-8618-9728106d9312 · outbound

This paper cites The joint spectral radius: theory and applications, volume 385.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning The joint spectral radius: theory and applications, volume 385

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.026337Z

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Observation c59cfb71-4a99-403e-a3d6-eeef1feee493 · outbound

This paper cites Increasing the safety of adaptive cruise control using physics-guided reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Increasing the safety of adaptive cruise control using physics-guided reinforcement learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.022813Z

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Observation 465a715c-76c4-46c3-b821-3a609abb1d23 · outbound

This paper cites Scalable deep reinforcement learning for vision-based robotic manipulation.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Scalable deep reinforcement learning for vision-based robotic manipulation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.019446Z

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Observation 6aff1960-4525-41a3-a701-6e281835af69 · outbound

This paper cites Towards interpretable deep reinforcement learning with human- friendly prototypes.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Towards interpretable deep reinforcement learning with human- friendly prototypes

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.015771Z

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Observation 64cab1ab-8c32-4e5f-b1b7-12bf3e111825 · outbound

This paper cites A framework for output-feedback symbolic control.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning A framework for output-feedback symbolic control

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.012014Z

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Observation f0f2c210-b341-4ece-8d7c-2584c82315f2 · outbound

This paper cites Auto-Encoding Variational Bayes.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Auto-Encoding Variational Bayes

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.319650Z

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Observation 07bda07e-54e3-4f65-8551-b573968df6f0 · outbound

This paper cites Floquet theory: a useful tool for understanding nonequilibrium dynamics.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Floquet theory: a useful tool for understanding nonequilibrium dynamics

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.008552Z

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Observation c4420ebb-5092-4e90-9538-33e873ecdcd6 · outbound

This paper cites Discovering symbolic policies with deep reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Discovering symbolic policies with deep reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.004902Z

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Observation 2c0e2e7d-d365-4a6c-bd55-678a997c8b5f · outbound

This paper cites Continuous control with deep reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Continuous control with deep reinforcement learning

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.329367Z

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Observation 4364ce0e-d7c2-40f5-9aab-46beeb70a2f3 · outbound

This paper cites Physics-informed dyna-style model-based deep reinforcement learning for dynamic control.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Physics-informed dyna-style model-based deep reinforcement learning for dynamic control

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:28.001452Z

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Observation 32a90823-30a2-41eb-87e0-a8dd465845e4 · outbound

This paper cites Sdrl: interpretable and data-efficient deep reinforce- ment learning leveraging symbolic planning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Sdrl: interpretable and data-efficient deep reinforce- ment learning leveraging symbolic planning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.997305Z

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Observation 3b2b3718-b5f4-42de-b2b6-8c2fb13d4094 · outbound

This paper cites Task-oriented koopman-based control with contrastive encoder.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Task-oriented koopman-based control with contrastive encoder

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.993255Z

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Observation aea2d30d-1cc4-4afe-87d5-424a50e5819b · outbound

This paper cites Isaac gym: High performance gpu-based physics simulation for robot learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Isaac gym: High performance gpu-based physics simulation for robot learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.989681Z

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Observation c1149a70-afcb-4bc7-9765-2782fd95d0f3 · outbound

This paper cites Towards interpretable reinforcement learning using attention augmented agents.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Towards interpretable reinforcement learning using attention augmented agents

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.985727Z

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Observation b2f63fc3-622a-4518-9c7e-c72632712c61 · outbound

This paper cites Data-efficient hierarchical reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Data-efficient hierarchical reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.982335Z

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Observation 87ebd9c3-56e2-4e3c-ba65-74ed189539b7 · outbound

This paper cites Adaptive optics control using model-based reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Adaptive optics control using model-based reinforcement learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.978797Z

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Observation 4a571edc-518b-4715-8cd4-cf7af0ab3739 · outbound

This paper cites Hierarchical reinforcement learning: A comprehensive survey.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Hierarchical reinforcement learning: A comprehensive survey

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.975594Z

Source-reported events for the cited work

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Observation cdb813c0-4650-4b48-b5aa-21e757eb9ee1 · outbound

This paper cites Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.971831Z

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Observation 97737316-ca5a-46dc-922f-68d2fb6a92b0 · outbound

This paper cites Rl baselines3 zoo.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Rl baselines3 zoo

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.968311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4bca8be7-e66d-4bbe-b7db-e3985a88244e · outbound

This paper cites Symbolic optimal control.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Symbolic optimal control

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.957784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a65c1ddf-07d6-4fb5-8ad1-801d6759e38b · outbound

This paper cites Koopman-Assisted Reinforcement Learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Koopman-Assisted Reinforcement Learning

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.298255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10f3e79d-7bde-444e-9326-370b6cc7ce65 · outbound

This paper cites Proximal Policy Optimization Algorithms.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.311611Z

Source-reported events for the cited work

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Observation 828587b2-f24d-4bca-a19a-17806c6290ee · outbound

This paper cites Multivariable feedback control: analysis and design.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Multivariable feedback control: analysis and design

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.953556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a739c9d4-e140-4e12-acd3-95a31917d67f · outbound

This paper cites Reinforcement learning: An introduction.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Reinforcement learning: An introduction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.949570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e43d820c-42a7-499a-866d-481d7b514ab8 · outbound

This paper cites Adaptive control schemes for improving the control system dynamics: a review.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Adaptive control schemes for improving the control system dynamics: a review

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.945662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 772417c5-760a-4a51-8a4a-031cfcaff0ce · outbound

This paper cites Programmati- cally interpretable reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Programmati- cally interpretable reinforcement learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.942233Z

Source-reported events for the cited work

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Observation 1b09397f-e531-41d9-9161-522b91990976 · outbound

This paper cites Toward physics-guided safe deep reinforcement learning for green data center cooling control.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Toward physics-guided safe deep reinforcement learning for green data center cooling control

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.938534Z

Source-reported events for the cited work

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Observation 0fd57d0d-b651-4487-a58e-a49d75a053e5 · outbound

This paper cites Embed to control: A locally linear latent dynamics model for control from raw images.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Embed to control: A locally linear latent dynamics model for control from raw images

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.934569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0edb3ebc-e1eb-4e69-9b1e-6699f5bb7487 · outbound

This paper cites Model-based deep reinforcement learning for accelerated learning from flow simulations.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Model-based deep reinforcement learning for accelerated learning from flow simulations

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.929844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ac632e95-beb2-481f-93dd-5fca2298f115 · outbound

This paper cites Koopman q-learning: Offline reinforcement learning via symmetries of dynamics.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Koopman q-learning: Offline reinforcement learning via symmetries of dynamics

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.925423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9cefdb83-2489-4ad0-bdb5-47c92a1a6f3e · outbound

This paper cites Explainable ai and reinforcement learning—a systematic review of current approaches and trends.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Explainable ai and reinforcement learning—a systematic review of current approaches and trends

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.921582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ec8834d7-f48d-42bb-b67c-4d6277ddb407 · outbound

This paper cites Interpretable deep reinforcement learning for optimizing heterogeneous energy storage systems.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Interpretable deep reinforcement learning for optimizing heterogeneous energy storage systems

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.917910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9ca08366-51eb-4abf-a3da-5cd797a88c8a · outbound

This paper cites Reinforcement learning with prototypical representations.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Reinforcement learning with prototypical representations

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.914253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb99fedc-e1fb-4498-a2e0-5c50a1bf25c0 · outbound

This paper cites Learning deep neural network representations for koopman operators of nonlinear dynamical systems.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Learning deep neural network representations for koopman operators of nonlinear dynamical systems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.911106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c93227d7-4e0f-425d-8825-03dccf4737ab · outbound

This paper cites Physics-guided deep reinforcement learning for flow field denoising.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Physics-guided deep reinforcement learning for flow field denoising

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.307645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0c00b2d7-491c-4093-a2c3-93c7a1a1f2b2 · outbound

This paper cites Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.303074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8506046-1596-4cc7-92c0-af26ebb60351 · outbound

This paper cites Concept learning for interpretable multi-agent reinforcement learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Concept learning for interpretable multi-agent reinforcement learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.907108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 94074562-7029-400c-860b-813b2b3ab8d0 · outbound

This paper cites Stable and safe reinforcement learning via a barrier-lyapunov actor-critic approach.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Stable and safe reinforcement learning via a barrier-lyapunov actor-critic approach

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.903611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa233022-9321-42f6-8bc4-38466dc18011 · outbound

This paper cites SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-08T02:04:40.609057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c46037d8-c4c0-42e3-bbfd-91c9ac0d7df4 · outbound

This paper cites an unresolved cited work.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-05-23T02:47:27.900000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22acc8f1-d848-45e6-8909-2eddc799d9b1 · outbound

This paper cites an unresolved cited work.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-05-23T02:47:27.896623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f755ab7e-8914-4c8c-8e78-cc7a177adc1f · outbound

This paper cites an unresolved cited work.

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-05-23T02:47:27.893103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Outbound references

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