Robust Shielding for Safe Reinforcement Learning | Paper Citation Record

Observation ce0577be-1b1d-4d92-8c8a-1ae23b36e3a2 · outbound

This paper cites Sutton and Andrew G.

Robust Shielding for Safe Reinforcement Learning Sutton and Andrew G

Reference 1

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Observation d17ff19c-0a4a-4d91-ae44-0429fc5f8c12 · outbound

This paper cites Bagnell, and Jan Peters.

Robust Shielding for Safe Reinforcement Learning Bagnell, and Jan Peters

Reference 2

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Observation 4fc5b070-1932-4047-8dce-93836db5b28a · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Robust Shielding for Safe Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 3

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Observation 1f62b9a3-9f1b-4fc8-ba76-1b42f1523bed · outbound

This paper cites Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A.

Robust Shielding for Safe Reinforcement Learning Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A

Reference 4

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Observation 13aea4b8-6ff9-4fb0-a254-2ac77af18284 · outbound

This paper cites A comprehensive survey on safe reinforcement learning.

Robust Shielding for Safe Reinforcement Learning A comprehensive survey on safe reinforcement learning

Reference 5

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Observation b8d2f4be-a950-4273-b4a5-796e9901a4e4 · outbound

This paper cites Safe Reinforcement Learning via Shielding.

Robust Shielding for Safe Reinforcement Learning Safe Reinforcement Learning via Shielding

Reference 6

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Observation 27f8097c-5285-4ae7-b313-100c7694dd89 · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 7

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Observation de4b09ec-8e73-46c9-b9ce-5ff0c582983f · outbound

This paper cites Safe reinforcement learning using probabilistic shields (invited paper).

Robust Shielding for Safe Reinforcement Learning Safe reinforcement learning using probabilistic shields (invited paper)

Reference 8

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Observation 71aa8bc3-1141-45b6-afea-67922944aaaf · outbound

This paper cites Safe reinforcement learning via shielding under partial observability.

Robust Shielding for Safe Reinforcement Learning Safe reinforcement learning via shielding under partial observability

Reference 9

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Observation e11f6bba-57f4-40f2-9a3c-78dd67b0dd32 · outbound

This paper cites Tsitsiklis.

Robust Shielding for Safe Reinforcement Learning Tsitsiklis

Reference 10

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Observation 5e22b803-e770-4c18-8cd5-5e9d4d352bd4 · outbound

This paper cites Robust control of Markov decision processes with uncertain transition matrices.Oper.

Robust Shielding for Safe Reinforcement Learning Robust control of Markov decision processes with uncertain transition matrices.Oper

Reference 11

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Observation b8c5fe6d-e060-42e0-817d-3f8c2be023c7 · outbound

This paper cites Bovy, David Parker, and Nils Jansen.

Robust Shielding for Safe Reinforcement Learning Bovy, David Parker, and Nils Jansen

Reference 12

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Observation ac785e77-2069-47f5-93d0-3235501d7ec5 · outbound

This paper cites Robust Markov decision processes.

Robust Shielding for Safe Reinforcement Learning Robust Markov decision processes

Reference 13

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Observation 477b6da7-a5ae-4b82-b04d-2e9fbf2ae387 · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 14

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Observation 3b0416b9-41de-49fe-a0a2-cc335b23e419 · outbound

This paper cites Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, and Angela P.

Robust Shielding for Safe Reinforcement Learning Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, and Angela P

Reference 15

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Observation 9fd790f4-3c63-4147-998e-330cf5795d89 · outbound

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

Robust Shielding for Safe Reinforcement Learning A review of safe reinforcement learning: Methods, theories, and applications.IEEE Trans

Reference 16

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Observation c3a10ee1-984c-4dce-9b6e-20e99262e275 · outbound

This paper cites Shielded rein- forcement learning: A review of reactive methods for safe learning.

Robust Shielding for Safe Reinforcement Learning Shielded rein- forcement learning: A review of reactive methods for safe learning

Reference 17

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Observation b56b7022-45d2-432d-a0f0-b9c44bc49339 · outbound

This paper cites Safe reinforcement learning via probabilistic logic shields.

Robust Shielding for Safe Reinforcement Learning Safe reinforcement learning via probabilistic logic shields

Reference 18

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Observation 8038ff36-2d01-4c6d-86b5-c0529b88f0d0 · outbound

This paper cites Safe multi-agent reinforcement learning via shielding.

Robust Shielding for Safe Reinforcement Learning Safe multi-agent reinforcement learning via shielding

Reference 19

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Observation b4a8b5c5-5553-4c53-be2c-fece36050a70 · outbound

This paper cites Online shielding for reinforcement learning.Innov.

Robust Shielding for Safe Reinforcement Learning Online shielding for reinforcement learning.Innov

Reference 20

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Observation 9fcf4fe5-1195-4219-b22c-b419a9903f41 · outbound

This paper cites Shields for safe reinforcement learning.Commun.

Robust Shielding for Safe Reinforcement Learning Shields for safe reinforcement learning.Commun

Reference 21

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Observation c3943bc4-385f-452b-81e2-858ded2ad5cf · outbound

This paper cites Goodall and Francesco Belardinelli.

Robust Shielding for Safe Reinforcement Learning Goodall and Francesco Belardinelli

Reference 22

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Observation d10d7944-72f2-4442-9fe3-87a64e7c6012 · outbound

This paper cites Safe reinforcement learning in black-box environments via adaptive shielding.

Robust Shielding for Safe Reinforcement Learning Safe reinforcement learning in black-box environments via adaptive shielding

Reference 23

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Observation 50f4470b-2379-488e-b072-72baa18e2604 · outbound

This paper cites Learning-based shielding for safe autonomy under unknown dynamics.

Robust Shielding for Safe Reinforcement Learning Learning-based shielding for safe autonomy under unknown dynamics

Reference 24

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Observation e16d9690-8f62-4826-bd9b-138dc806323b · outbound

This paper cites Optimization-based robust permissive synthesis for interval MDPs, 2026.

Robust Shielding for Safe Reinforcement Learning Optimization-based robust permissive synthesis for interval MDPs, 2026

Reference 25

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Observation 73865658-3428-4a0a-8429-e360d9b22f13 · outbound

This paper cites Risk-constrained reinforcement learning with percentile risk criteria.J.

Robust Shielding for Safe Reinforcement Learning Risk-constrained reinforcement learning with percentile risk criteria.J

Reference 26

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Observation 56fc2446-974f-4350-b7b0-ba15e1a1c6df · outbound

This paper cites Responsive safety in reinforcement learning by PID lagrangian methods.

Robust Shielding for Safe Reinforcement Learning Responsive safety in reinforcement learning by PID lagrangian methods

Reference 27

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Observation e9e53553-aa10-42c1-873c-188a77b2310c · outbound

This paper cites Efficient policy optimization in robust constrained MDPs with iteration complexity guarantees.

Robust Shielding for Safe Reinforcement Learning Efficient policy optimization in robust constrained MDPs with iteration complexity guarantees

Reference 28

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Observation 06f6d7ed-143f-4930-aab7-b72ddb9c24b2 · outbound

This paper cites Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty.

Robust Shielding for Safe Reinforcement Learning Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:22:43.380251Z

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Observation a078195e-fedb-48d7-b424-15fde20ce79f · outbound

This paper cites Duéñez-Guzmán, and Mohammad Ghavamzadeh.

Robust Shielding for Safe Reinforcement Learning Duéñez-Guzmán, and Mohammad Ghavamzadeh

Reference 30

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Observation 3da81817-04be-4d89-afdc-8f630c1217a5 · outbound

This paper cites Lyapunov-based Safe Policy Optimization for Continuous Control.

Robust Shielding for Safe Reinforcement Learning Lyapunov-based Safe Policy Optimization for Continuous Control

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:22:43.387873Z

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Observation b8dfe6ce-2db3-4cee-9b1b-ce4987235442 · outbound

This paper cites Schoellig, and Andreas Krause.

Robust Shielding for Safe Reinforcement Learning Schoellig, and Andreas Krause

Reference 32

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Observation 2b52fe5c-5ae0-47a7-92fd-8e222da09ea2 · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 33

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Observation a7fddf10-8d55-45c0-875b-4db38dc0068e · outbound

This paper cites When to trust your model: Model-based policy optimization.

Robust Shielding for Safe Reinforcement Learning When to trust your model: Model-based policy optimization

Reference 34

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Observation a315c0cd-f49d-40a6-9372-19fabc559c11 · outbound

This paper cites Trust the model where it trusts itself - model-based actor-critic with uncertainty-aware rollout adaption.

Robust Shielding for Safe Reinforcement Learning Trust the model where it trusts itself - model-based actor-critic with uncertainty-aware rollout adaption

Reference 35

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Observation 518d42ff-dcbc-43be-a1a2-f40cafc87c8f · outbound

This paper cites MIT press, 2008.

Robust Shielding for Safe Reinforcement Learning MIT press, 2008

Reference 36

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Observation 09ead503-8ee9-4a5f-ba38-17910a180183 · outbound

This paper cites Bertsekas and Steven E.

Robust Shielding for Safe Reinforcement Learning Bertsekas and Steven E

Reference 37

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Observation 4f8a9959-e5b4-48e4-b44e-bbe86e2e2cd2 · outbound

This paper cites The temporal logic of programs.

Robust Shielding for Safe Reinforcement Learning The temporal logic of programs

Reference 38

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Observation 8cc3b92b-df6b-4e99-81b1-f570eca27c26 · outbound

This paper cites Runtime verification - 17 years later.

Robust Shielding for Safe Reinforcement Learning Runtime verification - 17 years later

Reference 39

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Observation 0343cb4f-7318-487d-ac06-35daf8b5a59a · outbound

This paper cites Deshmukh, Alexandre Donzé, Georgios Fainekos, Oded Maler, Dejan Nickovic, and Sriram Sankaranarayanan.

Robust Shielding for Safe Reinforcement Learning Deshmukh, Alexandre Donzé, Georgios Fainekos, Oded Maler, Dejan Nickovic, and Sriram Sankaranarayanan

Reference 40

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Observation 16c97f2b-c520-4095-9c9c-77333648ee84 · outbound

This paper cites What are the odds? improving statistical model checking of Markov decision processes.

Robust Shielding for Safe Reinforcement Learning What are the odds? improving statistical model checking of Markov decision processes

Reference 41

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Observation 6ef820ae-eb83-4d79-bfdb-9f04e8941eed · outbound

This paper cites Data-driven abstraction and synthesis for stochastic systems with unknown dynamics.

Robust Shielding for Safe Reinforcement Learning Data-driven abstraction and synthesis for stochastic systems with unknown dynamics

Reference 42

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Observation efba3b2b-70d2-4a63-bab8-255ccc052119 · outbound

This paper cites Poonawala, Mariëlle Stoelinga, and Nils Jansen.

Robust Shielding for Safe Reinforcement Learning Poonawala, Mariëlle Stoelinga, and Nils Jansen

Reference 43

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Observation eb396f91-4c75-4ff8-a07a-2cccbcc923b9 · outbound

This paper cites Simão, David Parker, and Nils Jansen.

Robust Shielding for Safe Reinforcement Learning Simão, David Parker, and Nils Jansen

Reference 44

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Observation 8c3ab334-fe77-4e8f-b0fb-033ed95b8268 · outbound

This paper cites Certifiably robust policies for uncertain parametric environments.

Robust Shielding for Safe Reinforcement Learning Certifiably robust policies for uncertain parametric environments

Reference 45

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Observation f62f4de0-3543-43b1-add9-b469b9b06be6 · outbound

This paper cites The use of confidence or fiducial limits illustrated in the case of the binomial.Biometrika, 26(4):404–413, 1934.

Robust Shielding for Safe Reinforcement Learning The use of confidence or fiducial limits illustrated in the case of the binomial.Biometrika, 26(4):404–413, 1934

Reference 46

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Observation 44cf08c1-de43-416a-bea5-efa21038d718 · outbound

This paper cites Henzinger, Jan Kretínský, and Tatjana Petrov.

Robust Shielding for Safe Reinforcement Learning Henzinger, Jan Kretínský, and Tatjana Petrov

Reference 47

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Observation 92fa07e0-bf59-4b3d-9956-cf71ad6f6ba7 · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 48

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Observation a7004950-2790-431e-aaa4-a931f3c42957 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Robust Shielding for Safe Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:22:43.385736Z

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Observation 013af4a1-7c88-48c3-a46d-bbbebbad59e1 · outbound

This paper cites Goodall, Omar Adalat, Edwin Hamel De-le Court, and Francesco Belardinelli.

Robust Shielding for Safe Reinforcement Learning Goodall, Omar Adalat, Edwin Hamel De-le Court, and Francesco Belardinelli

Reference 50

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Observation f19afac9-e3aa-4d41-9bca-740a78fddb1d · outbound

This paper cites Simão, Marnix Suilen, and Nils Jansen.

Robust Shielding for Safe Reinforcement Learning Simão, Marnix Suilen, and Nils Jansen

Reference 51

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Observation a327b1a5-80d3-4740-b03d-94987c771f81 · outbound

This paper cites Bertsimas and D.

Robust Shielding for Safe Reinforcement Learning Bertsimas and D

Reference 52

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Observation 06753848-a5d4-4be4-afbb-176d5dfb7dba · outbound

This paper cites DOPE: doubly optimistic and pessimistic exploration for safe reinforcement learning.

Robust Shielding for Safe Reinforcement Learning DOPE: doubly optimistic and pessimistic exploration for safe reinforcement learning

Reference 53

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Observation 5834b1d4-67bc-4e2e-bea9-51a76364e849 · outbound

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Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 54

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Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 55

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Observation 93a95186-870d-4ba1-9a42-67a3e48fa688 · outbound

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Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 56

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Observation ba2ca4e9-dad7-4364-98f6-676f1cce05a7 · outbound

This paper cites ∞X t=0 γtR(st, at) # −E s0a0···∼ν.

Robust Shielding for Safe Reinforcement Learning ∞X t=0 γtR(st, at) # −E s0a0···∼ν

Reference 57

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Observation 7e798b27-35fe-44b6-a991-b0ca0116a769 · outbound

This paper cites ThenSis C- 2Zϵ 1−γ , γ -optimal over(M R, α)forΦ.

Robust Shielding for Safe Reinforcement Learning ThenSis C- 2Zϵ 1−γ , γ -optimal over(M R, α)forΦ

Reference 58

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Observation fd056d68-8902-4788-a731-db0f71588bdc · outbound

This paper cites ThenSis C-(2Bϵ,1)-optimal over(M R, α)forΦ.

Robust Shielding for Safe Reinforcement Learning ThenSis C-(2Bϵ,1)-optimal over(M R, α)forΦ

Reference 59

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Observation ab086a31-470c-4fd9-8209-f92ff16f6b19 · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 60

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Observation 037965a4-c41e-46dd-b663-acc43c44fd91 · outbound

This paper cites In particular, the shield S(MR/α,A, β ∞) is HR-(0, γ)-optimal for every γ∈(0,1] for which the corresponding return is well-defined.

Robust Shielding for Safe Reinforcement Learning In particular, the shield S(MR/α,A, β ∞) is HR-(0, γ)-optimal for every γ∈(0,1] for which the corresponding return is well-defined

Reference 61

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Observation e32c32bf-1ee2-43d0-ad12-c5e889bdb296 · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 62

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Observation 2d0a5dbe-f5b2-41f5-a402-5a6807cc9f85 · outbound

This paper cites ∞X t=0 c((st, qt), at) # is the probability to reachGfollowingπ, so the constraint M, π|=P ≥1−p(φ) is equivalent to Eπ.

Robust Shielding for Safe Reinforcement Learning ∞X t=0 c((st, qt), at) # is the probability to reachGfollowingπ, so the constraint M, π|=P ≥1−p(φ) is equivalent to Eπ

Reference 63

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Observation c40027d8-9c0f-4380-af57-c143dd2adc40 · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T22:21:18.863056Z

Source-reported events for the cited work

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Observation 35d7b8fb-5d08-4cf8-ba51-27f479f7641d · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-28T22:21:18.863056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76d6fad-97e9-413c-b2c3-e7d1a0d8320d · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-28T22:21:18.863056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d79d067-9576-4ac9-acf8-5c99fd3db0dc · outbound

This paper cites an unresolved cited work.

Robust Shielding for Safe Reinforcement Learning Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-28T22:21:18.863056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers