A Survey of Reinforcement Learning for Optimization in Automation | Paper Citation Record

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A Survey of Reinforcement Learning for Optimization in Automation Unresolved cited work

Reference 1

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

A Survey of Reinforcement Learning for Optimization in Automation Human-level control through deep reinforcement learning,

Reference 2

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This paper cites Deep reinforcement learning in smart manufacturing: A review and prospects,.

A Survey of Reinforcement Learning for Optimization in Automation Deep reinforcement learning in smart manufacturing: A review and prospects,

Reference 3

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This paper cites Applications of reinforcement learning in energy systems,.

A Survey of Reinforcement Learning for Optimization in Automation Applications of reinforcement learning in energy systems,

Reference 4

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

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning in robotics: A survey,

Reference 5

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This paper cites Reinforcement learning applied to production planning and control,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning applied to production planning and control,

Reference 6

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This paper cites A review on reinforcement learning: Introduction and applications in industrial process control,.

A Survey of Reinforcement Learning for Optimization in Automation A review on reinforcement learning: Introduction and applications in industrial process control,

Reference 7

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This paper cites Deep reinforcement learning for inventory control: A roadmap,.

A Survey of Reinforcement Learning for Optimization in Automation Deep reinforcement learning for inventory control: A roadmap,

Reference 8

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This paper cites Metaheuristics in combinatorial optimization: Overview and conceptual comparison,.

A Survey of Reinforcement Learning for Optimization in Automation Metaheuristics in combinatorial optimization: Overview and conceptual comparison,

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This paper cites Deep Reinforcement Learning: An Overview.

A Survey of Reinforcement Learning for Optimization in Automation Deep Reinforcement Learning: An Overview

Reference 10

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This paper cites Deep reinforcement learning: A brief survey,.

A Survey of Reinforcement Learning for Optimization in Automation Deep reinforcement learning: A brief survey,

Reference 11

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This paper cites A deep reinforcement learning approach for chemical production scheduling,.

A Survey of Reinforcement Learning for Optimization in Automation A deep reinforcement learning approach for chemical production scheduling,

Reference 12

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This paper cites Intelligent scheduling of discrete automated production line via deep reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Intelligent scheduling of discrete automated production line via deep reinforcement learning,

Reference 13

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This paper cites A reinforcement learning method to scheduling problem of steel production process,.

A Survey of Reinforcement Learning for Optimization in Automation A reinforcement learning method to scheduling problem of steel production process,

Reference 14

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This paper cites Distributional Reinforcement Learning for Scheduling of Chemical Production Processes.

A Survey of Reinforcement Learning for Optimization in Automation Distributional Reinforcement Learning for Scheduling of Chemical Production Processes

Reference 15

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This paper cites Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains

Reference 16

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This paper cites Reward shaping to improve the performance of deep reinforcement learning in perishable inventory management,.

A Survey of Reinforcement Learning for Optimization in Automation Reward shaping to improve the performance of deep reinforcement learning in perishable inventory management,

Reference 17

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This paper cites Cooperative multi-agent reinforcement learning for inventory man- agement,.

A Survey of Reinforcement Learning for Optimization in Automation Cooperative multi-agent reinforcement learning for inventory man- agement,

Reference 18

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This paper cites MARLIM: Multi-Agent Reinforcement Learning for Inventory Management.

A Survey of Reinforcement Learning for Optimization in Automation MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

Reference 19

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Observation 4ed62436-cd2f-4f9a-a31c-af7d2e58250a · outbound

This paper cites Reinforcement and deep reinforce- ment learning-based solutions for machine maintenance planning, scheduling policies, and optimization,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement and deep reinforce- ment learning-based solutions for machine maintenance planning, scheduling policies, and optimization,

Reference 20

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This paper cites Reinforcement learning for dynamic condition-based maintenance of a system with individually repairable components,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning for dynamic condition-based maintenance of a system with individually repairable components,

Reference 21

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This paper cites Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning,

Reference 22

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This paper cites Aircraft main- tenance check scheduling using reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Aircraft main- tenance check scheduling using reinforcement learning,

Reference 23

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This paper cites Network maintenance planning via multi-agent reinforcement learn- ing,.

A Survey of Reinforcement Learning for Optimization in Automation Network maintenance planning via multi-agent reinforcement learn- ing,

Reference 24

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This paper cites Reinforcement learning for statistical process control in manufacturing,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning for statistical process control in manufacturing,

Reference 25

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This paper cites Explainable reinforcement learning in production control of job shop manufacturing system,.

A Survey of Reinforcement Learning for Optimization in Automation Explainable reinforcement learning in production control of job shop manufacturing system,

Reference 26

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This paper cites Using process data to generate an optimal control policy via apprenticeship and reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Using process data to generate an optimal control policy via apprenticeship and reinforcement learning,

Reference 27

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This paper cites Reinforcement learning for process control with application in semiconductor manufacturing,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning for process control with application in semiconductor manufacturing,

Reference 28

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This paper cites Reinforcement learning for whole-building hvac control and demand response,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning for whole-building hvac control and demand response,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.335588Z

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This paper cites Using meta reinforcement learning to bridge the gap between simulation and experiment in energy demand response,.

A Survey of Reinforcement Learning for Optimization in Automation Using meta reinforcement learning to bridge the gap between simulation and experiment in energy demand response,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.340446Z

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This paper cites Multiagent reinforce- ment learning for energy management in residential buildings,.

A Survey of Reinforcement Learning for Optimization in Automation Multiagent reinforce- ment learning for energy management in residential buildings,

Reference 31

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This paper cites Deep reinforcement learning-based demand response for smart facilities energy management,.

A Survey of Reinforcement Learning for Optimization in Automation Deep reinforcement learning-based demand response for smart facilities energy management,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.350303Z

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This paper cites Multi-agent deep rein- forcement learning based demand response for discrete manufacturing systems energy management,.

A Survey of Reinforcement Learning for Optimization in Automation Multi-agent deep rein- forcement learning based demand response for discrete manufacturing systems energy management,

Reference 33

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A Survey of Reinforcement Learning for Optimization in Automation Testbed implementation of reinforcement learning-based demand response energy management system,

Reference 34

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A Survey of Reinforcement Learning for Optimization in Automation Deep reinforcement learning for energy management in a microgrid with flexible demand,

Reference 35

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This paper cites Energy management for microgrids using a reinforcement learning algorithm,.

A Survey of Reinforcement Learning for Optimization in Automation Energy management for microgrids using a reinforcement learning algorithm,

Reference 36

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This paper cites Deep reinforcement learning- based energy management strategy for a microgrid with flexible loads,.

A Survey of Reinforcement Learning for Optimization in Automation Deep reinforcement learning- based energy management strategy for a microgrid with flexible loads,

Reference 37

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This paper cites Energy management in microgrid based on deep rein- forcement learning with expert knowledge,.

A Survey of Reinforcement Learning for Optimization in Automation Energy management in microgrid based on deep rein- forcement learning with expert knowledge,

Reference 38

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This paper cites Weather-aware data-driven microgrid energy manage- ment using deep reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Weather-aware data-driven microgrid energy manage- ment using deep reinforcement learning,

Reference 39

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This paper cites Intelligent multi-microgrid energy management based on deep neural network and model-free reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Intelligent multi-microgrid energy management based on deep neural network and model-free reinforcement learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:35.010835Z

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This paper cites Reinforcement learning in sustainable energy and electric systems: A survey,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning in sustainable energy and electric systems: A survey,

Reference 41

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This paper cites Reinforcement learning and its applications in modern power and energy systems: A review,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning and its applications in modern power and energy systems: A review,

Reference 42

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This paper cites Reinforcement learning for selective key applications in power systems: Recent advances and future challenges,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning for selective key applications in power systems: Recent advances and future challenges,

Reference 43

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This paper cites A systematic study on reinforcement learning based applications,.

A Survey of Reinforcement Learning for Optimization in Automation A systematic study on reinforcement learning based applications,

Reference 44

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This paper cites End-to-end deep reinforcement learning control for hvac systems in office buildings,.

A Survey of Reinforcement Learning for Optimization in Automation End-to-end deep reinforcement learning control for hvac systems in office buildings,

Reference 45

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This paper cites A review of reinforcement learn- ing applications to control of heating, ventilation and air conditioning systems,.

A Survey of Reinforcement Learning for Optimization in Automation A review of reinforcement learn- ing applications to control of heating, ventilation and air conditioning systems,

Reference 46

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This paper cites Safe hvac control via batch reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Safe hvac control via batch reinforcement learning,

Reference 47

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This paper cites Study on the application of reinforcement learning in the operation optimization of hvac system,.

A Survey of Reinforcement Learning for Optimization in Automation Study on the application of reinforcement learning in the operation optimization of hvac system,

Reference 48

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This paper cites Experimental evalu- ation of model-free reinforcement learning algorithms for continuous hvac control,.

A Survey of Reinforcement Learning for Optimization in Automation Experimental evalu- ation of model-free reinforcement learning algorithms for continuous hvac control,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.875809Z

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This paper cites Robotic arm motion planning based on curriculum reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Robotic arm motion planning based on curriculum reinforcement learning,

Reference 50

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This paper cites Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:36:34.090096Z

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This paper cites Reinforcement learning with prior policy guidance for motion planning of dual-arm free-floating space robot,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning with prior policy guidance for motion planning of dual-arm free-floating space robot,

Reference 52

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This paper cites Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control.

A Survey of Reinforcement Learning for Optimization in Automation Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control

Reference 53

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This paper cites Robotic grasping using deep reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Robotic grasping using deep reinforcement learning,

Reference 54

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This paper cites Mrcdrl: Multi-robot coordination with deep reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Mrcdrl: Multi-robot coordination with deep reinforcement learning,

Reference 55

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This paper cites Towards pick and place multi robot coordination using multi-agent deep reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Towards pick and place multi robot coordination using multi-agent deep reinforcement learning,

Reference 56

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This paper cites Human-centered collaborative robots with deep reinforcement learn- ing,.

A Survey of Reinforcement Learning for Optimization in Automation Human-centered collaborative robots with deep reinforcement learn- ing,

Reference 57

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This paper cites Explainable reinforcement learning for human-robot collaboration,.

A Survey of Reinforcement Learning for Optimization in Automation Explainable reinforcement learning for human-robot collaboration,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.771673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9c26b50-51b6-46d4-a109-54ad10613235 · outbound

This paper cites Real-world human-robot collaborative reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Real-world human-robot collaborative reinforcement learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.755910Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3cebd9a-7306-41e0-980e-e3be2a21d1e0 · outbound

This paper cites Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration.

A Survey of Reinforcement Learning for Optimization in Automation Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:36:34.043976Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d975f13-1b8d-4322-bc7c-b8b386f7c0f1 · outbound

This paper cites Towards safe human-robot collaboration using deep reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Towards safe human-robot collaboration using deep reinforcement learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.741221Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d24db4b-5d3e-4ce4-808a-72c701bc2497 · outbound

This paper cites A framework and algorithm for human-robot collaboration based on multimodal reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation A framework and algorithm for human-robot collaboration based on multimodal reinforcement learning,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.726034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07085747-d61d-4340-a188-6e10b03d593c · outbound

This paper cites A survey of learning-based robot motion planning,.

A Survey of Reinforcement Learning for Optimization in Automation A survey of learning-based robot motion planning,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.711109Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5f86b26-6acf-48ce-aa1f-5f4094a570ea · outbound

This paper cites A survey on deep reinforcement learning algorithms for robotic manipulation,.

A Survey of Reinforcement Learning for Optimization in Automation A survey on deep reinforcement learning algorithms for robotic manipulation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.696771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6ade5fc-00bc-479d-a77f-8bf827705595 · outbound

This paper cites Reward shaping to learn natural object manipulation with an anthropomorphic robotic hand and hand pose priors via on- policy reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Reward shaping to learn natural object manipulation with an anthropomorphic robotic hand and hand pose priors via on- policy reinforcement learning,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.682569Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 544cbe48-d6e9-47b8-8218-3278f40e9633 · outbound

This paper cites Enhancing robotic grasping of free-floating targets with soft actor-critic algorithm and tactile sensors: a focus on the pre-grasp stage,.

A Survey of Reinforcement Learning for Optimization in Automation Enhancing robotic grasping of free-floating targets with soft actor-critic algorithm and tactile sensors: a focus on the pre-grasp stage,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.667452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e1ef3d1-d871-46c9-9656-25a006853d42 · outbound

This paper cites Reinforcement learning for multi-robot system: A review,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning for multi-robot system: A review,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.651171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce4dd452-ff06-4335-8d09-119c9fbe2f4e · outbound

This paper cites Coordination of a multi robot system for pick and place using reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Coordination of a multi robot system for pick and place using reinforcement learning,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.633058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 501b8719-94cd-4d3c-bf9b-104c37ee22c8 · outbound

This paper cites an unresolved cited work.

A Survey of Reinforcement Learning for Optimization in Automation Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-07T21:36:34.617407Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16a6ebd3-002d-4a7a-ad9d-7b483a9f128d · outbound

This paper cites Adaptive coordination of multiple learning strategies in brains and robots,.

A Survey of Reinforcement Learning for Optimization in Automation Adaptive coordination of multiple learning strategies in brains and robots,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.601441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 550ce57c-396e-4014-87b6-9c82f2c81f7d · outbound

This paper cites Study of sample efficiency improvements for reinforcement learning algorithms,.

A Survey of Reinforcement Learning for Optimization in Automation Study of sample efficiency improvements for reinforcement learning algorithms,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.585485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9fdb04d5-b5d0-4e98-b5ec-1b0ff458c82b · outbound

This paper cites Measuring Progress in Deep Reinforcement Learning Sample Efficiency.

A Survey of Reinforcement Learning for Optimization in Automation Measuring Progress in Deep Reinforcement Learning Sample Efficiency

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:36:34.022989Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d842fd78-6b4b-4bf4-9c6a-6f5c545a560e · outbound

This paper cites Maximum Mutation Reinforcement Learning for Scalable Control.

A Survey of Reinforcement Learning for Optimization in Automation Maximum Mutation Reinforcement Learning for Scalable Control

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:36:34.001403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3b6ec98-e4c1-4072-a26f-c0d1023d67c7 · outbound

This paper cites Sample efficient reinforcement learning method via high efficient episodic memory,.

A Survey of Reinforcement Learning for Optimization in Automation Sample efficient reinforcement learning method via high efficient episodic memory,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.569138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b547937-483b-4429-9ad4-4913ae6e7ab8 · outbound

This paper cites Efficient online reinforcement learning with offline data,.

A Survey of Reinforcement Learning for Optimization in Automation Efficient online reinforcement learning with offline data,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.576696Z

Source-reported events for the cited work

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Observation 5bc23ff2-040c-4f99-929c-b7fbd140bfed · outbound

This paper cites Breaking the sample size barrier in model-based reinforcement learning with a generative model,.

A Survey of Reinforcement Learning for Optimization in Automation Breaking the sample size barrier in model-based reinforcement learning with a generative model,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.539665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97b57b1d-a763-40ee-ad38-fa8bdd7c3e30 · outbound

This paper cites Elastic step ddpg: Multi-step reinforcement learning for improved sample efficiency,.

A Survey of Reinforcement Learning for Optimization in Automation Elastic step ddpg: Multi-step reinforcement learning for improved sample efficiency,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.522087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee8173eb-355a-4df7-848d-84d4bd778d6b · outbound

This paper cites Sample-efficient reinforcement learning via conservative model-based actor-critic,.

A Survey of Reinforcement Learning for Optimization in Automation Sample-efficient reinforcement learning via conservative model-based actor-critic,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.505362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ddf61cb-00a0-4b3c-8ec3-9aebb00f6f46 · outbound

This paper cites Safety robustness of reinforcement learning policies: A view from robust control,.

A Survey of Reinforcement Learning for Optimization in Automation Safety robustness of reinforcement learning policies: A view from robust control,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.490108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2cc06383-7502-4214-af5e-5a22cf820ace · outbound

This paper cites Safe Reinforcement Learning with Dual Robustness.

A Survey of Reinforcement Learning for Optimization in Automation Safe Reinforcement Learning with Dual Robustness

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:36:33.979594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9c98fea-5183-47eb-b67d-026444cd6663 · outbound

This paper cites On the Robustness of Safe Reinforcement Learning under Observational Perturbations.

A Survey of Reinforcement Learning for Optimization in Automation On the Robustness of Safe Reinforcement Learning under Observational Perturbations

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.610142Z

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Observation 5457f1a7-3bd7-47a5-bc78-5d901f1baab8 · outbound

This paper cites Safe reinforcement learning using robust control barrier functions,.

A Survey of Reinforcement Learning for Optimization in Automation Safe reinforcement learning using robust control barrier functions,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.475887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c128383-c9dc-4c0d-8e04-0710731d6ad2 · outbound

This paper cites Safe reinforcement learning using robust action governor,.

A Survey of Reinforcement Learning for Optimization in Automation Safe reinforcement learning using robust action governor,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.461578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 226086d9-4c0c-49b2-9579-c358e5e98367 · outbound

This paper cites Safe reinforcement learning using robust mpc,.

A Survey of Reinforcement Learning for Optimization in Automation Safe reinforcement learning using robust mpc,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.626931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d91ed9e-980d-42b9-8eca-41f78d83e390 · outbound

This paper cites Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees.

A Survey of Reinforcement Learning for Optimization in Automation Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:36:33.939102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dff55c0a-093b-4d0a-90fe-d9344f031119 · outbound

This paper cites Task-agnostic safety for rein- forcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Task-agnostic safety for rein- forcement learning,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.438028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29b3ce88-d0b3-4d8a-9a68-69d81ff0f06d · outbound

This paper cites Falsification-based robust ad- versarial reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Falsification-based robust ad- versarial reinforcement learning,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.423999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 503dd278-7361-4b56-8667-d90b26627b8f · outbound

This paper cites A Survey on Interpretable Reinforcement Learning.

A Survey of Reinforcement Learning for Optimization in Automation A Survey on Interpretable Reinforcement Learning

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.646549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36328faf-762e-4051-a9a9-6e03687c19f5 · outbound

This paper cites Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming.

A Survey of Reinforcement Learning for Optimization in Automation Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:36:33.900439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 039c8826-59dd-45a1-86d0-63e374e46491 · outbound

This paper cites There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes.

A Survey of Reinforcement Learning for Optimization in Automation There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.656651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 060a3d21-8994-4ba3-9c77-72db014205a7 · outbound

This paper cites What do rein- forcement learning models measure? interpreting model parameters in cognition and neuroscience,.

A Survey of Reinforcement Learning for Optimization in Automation What do rein- forcement learning models measure? interpreting model parameters in cognition and neuroscience,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.407812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f9ff627-597a-4669-a12c-dd8d83ed650e · outbound

This paper cites Reinforcement learning interpretation methods: A survey,.

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement learning interpretation methods: A survey,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.390612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b4292e42-6ae8-4514-a3d1-19e206c1950a · outbound

This paper cites Self- supervised discovering of interpretable features for reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Self- supervised discovering of interpretable features for reinforcement learning,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.374926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f8389df-804e-4f18-8799-c8c09b7af67c · outbound

This paper cites Learning sparse evidence-driven interpretation to understand deep reinforcement learning agents,.

A Survey of Reinforcement Learning for Optimization in Automation Learning sparse evidence-driven interpretation to understand deep reinforcement learning agents,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.358993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc37d66b-bf1a-460c-824d-7a63bbd33147 · outbound

This paper cites Meta- learning in neural networks: A survey,.

A Survey of Reinforcement Learning for Optimization in Automation Meta- learning in neural networks: A survey,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.342061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a5e3b93f-c857-4a58-bed6-1a4378ac9865 · outbound

This paper cites Learning action translator for meta reinforcement learning on sparse-reward tasks,.

A Survey of Reinforcement Learning for Optimization in Automation Learning action translator for meta reinforcement learning on sparse-reward tasks,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.325714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 126117cc-c59f-4078-8cbd-3923a748c2a5 · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey,.

A Survey of Reinforcement Learning for Optimization in Automation Curriculum learning for reinforcement learning domains: A framework and survey,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T21:36:33.692403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808b3c83-1777-459a-a754-3ada3a3aa015 · outbound

This paper cites Effective reinforcement learning using transfer learning,.

A Survey of Reinforcement Learning for Optimization in Automation Effective reinforcement learning using transfer learning,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.299553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1268171f-12d1-4267-902c-662832d31dfe · outbound

This paper cites Multi-source transfer learning for deep model-based reinforcement learning,.

A Survey of Reinforcement Learning for Optimization in Automation Multi-source transfer learning for deep model-based reinforcement learning,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.284441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f0bd06a-6bff-4527-8419-76ff699b49a9 · outbound

This paper cites Efficient meta reinforcement learning for preference-based fast adaptation,.

A Survey of Reinforcement Learning for Optimization in Automation Efficient meta reinforcement learning for preference-based fast adaptation,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:36:34.266401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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