Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T16:53:06.017613Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2607.07235.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T16:53:06.017613Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
78 of 78 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d13b15b2-a0a1-465b-a90d-65867880b9f7 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Python package for fitting quinlan’s cubist v2.07 regression model, 2021
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c644c8f6-02f5-4014-a759-8bcfb25c3d3d · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Verifiable reinforcement learning via policy extraction
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 47cb0b25-5d92-4780-b0bf-e8725e7ec847 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 685465ab-640a-47f8-84db-10939e2da171 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Human-friendly explanations checklist for reinforcement learning: XRL H-F-E checklist
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 213c33aa-b82d-4074-b332-35cade58528f · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Distilling deep reinforce- ment learning policies in soft decision trees
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e93305bb-d254-433b-a4ea-c2404ac14e71 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bf191f6a-d96e-4e7a-a605-ffa4268f31d1 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Danesh, Anurag Koul, Alan Fern, and Saeed Khorram
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2dc6b056-16d4-4c06-9c1a-a99b471b753d · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Nat., 602(7897):414–419, 2022
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7746d357-3d9f-4f4f-9ea6-fb9d67cc2265 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, and Dimitar P
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 74501045-2520-41ee-acdf-acb870ba33a7 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c0de06a7-4dd9-419c-b583-56ed1d87367f · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Regulation (eu) 2024/1689 of the European parliament and of the council – the EU artificial intelligence act
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cfa56d4e-ab65-4866-a2f9-9b5912dbab40 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Friedman and Bogdan E
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 93851ed9-3e39-4bd9-bb09-36835039d819 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies A brief overview of rule learning
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d67330f3-9a35-45fe-905f-592c27bcc33d · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3f5f482a-1e6c-476d-bf59-4a377e12fe44 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies A Survey on LLM-as-a-Judge
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d7d4ee45-1bd8-4dde-bf82-9ebf448f27d6 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f99e9ce1-69f6-413a-9d06-8a686d43081f · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Learning finite state representations of recurrent policy networks
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 769f059c-c660-4cc2-9b26-791feef37131 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Explainable classification by learning human-readable sentences in feature subsets.Information Sciences, 564:202–219, 2021
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1206e76b-5c05-4169-bff6-f8148d56437a · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Lillicrapet al.Continuous control with deep reinforcement learning
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 653a5e48-9ee6-451b-b680-dfe9f34bfb6a · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Alqahtani, and Dongwon Lee
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 422663d0-ccbb-4452-8c2e-a7fd69dd1d6a · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ab5adf6-a080-4d14-a526-e327dbbbd2d6 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Explainable reinforcement learning: A survey and comparative review.ACM Comput
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5d88f84d-040b-4768-ac90-970c7d0134c6 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Kamhoua, Evangelos E
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d0fdb178-45c9-4a57-9a30-de84758c925d · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6d488690-24bd-4629-8e35-487316bad41c · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3 edition, 2025
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fbe6d7b3-5e1f-4339-9612-a3be336ea5f1 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Efficient memory-based learning for robot control
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fc266ee8-879e-4638-8826-8ec2aeaf73b0 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Murthy, Simon Kasif, and Steven Salzberg
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cb5b3011-e81c-4668-837f-23de375eabef · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Interpretable approximation of a deep reinforcement learning agent as a set of if-then rules
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6d67ead8-cbdd-41cd-ac66-e00ce4abcbc9 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, and Matthew C
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9f6a714a-8a3c-49b5-acf2-577cf2499034 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Pedregosa, G
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9c639cd4-da2d-41e6-9cc6-2d8a6db4812f · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 504888b7-0506-4e27-9881-620a2cab9a4d · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Ross Quinlan
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5cda610f-ba57-4118-97dd-25822006bb91 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Stable-baselines3: Reliable reinforcement learning implementations.Journal of Machine Learning Research, 22(268):1–8, 2021
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d1b7f56c-5b2e-40bd-9152-2b025e867298 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies A reduction of imitation learning and structured prediction to no-regret online learning
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 657474ab-3c12-493e-8ec5-46fc67590adf · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Multiple comparisons of treatment against control under unequal variances using parametric bootstrap.J
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 67da4504-f114-4d75-a4b3-6a52adbea991 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Safety verification of decision-tree policies in continuous time
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation abf16751-2c03-4149-9aad-b297dde4a5f1 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Neurolinear: From neural networks to oblique decision rules
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8437b6d3-d31c-4f56-a624-5de0a498a6ef · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Gombolay, Taylor W
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a4949673-3fad-4d6d-a15a-1150e7490ad2 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Ried- miller
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e0048019-6512-4c09-a4f1-089dc430a567 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc790010-7856-4531-bad3-284be3ce8126 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies TLdR: Policy summa- rization for factored SSP problems using temporal abstractions
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e34875ba-c9e8-4968-ab0d-1d5dc811298c · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Sutton and Andrew G
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e389471-d6f8-4aea-a3cb-8f7cefb001cc · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Lopez-Miguel, Sebastian Tschiatschek, and Ezio Bartocci
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b2feae48-b140-4c81-9a4a-c78ee8a53fff · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Thorndike
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d98dba57-a15d-49a8-8e9f-1708c110b5cd · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Generation of policy-level explanations for reinforcement learning
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6c9c76c7-1fe5-4fdf-b0b9-3e424e276304 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a4705d3e-e105-4f68-9e88-d2764c5588fd · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Gymnasium: A Standard Interface for Reinforcement Learning Environments
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cba36f43-343a-45ae-bd76-acf8d6a454bd · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Executive Office of the President
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 948337c1-0488-4ae7-8b7a-4bc249936672 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Self-interpretable reinforcement learning via rule ensembles
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e460d45-83ff-4207-8ca3-c8e768b14fce · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies The actions from this model are compared to the ones that the original RL agent would have taken in those states
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7bd66b88-918d-437b-9f67-bf654aab4fe3 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies This refinement step is repeated until performance degrades or no more useful data can be collected
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1af34b8b-c51e-4424-b9b9-2b0b75536c6f · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies This places the focus on the states where the RL policy and the learned model differ the most
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 127fe472-e26f-493a-8e61-f66560c1c166 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ed889c6d-2ae5-438f-a0fc-b8dabb7bdc3a · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies comb-as & random-rs-nm
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 35a6da98-cee6-4468-805b-46332dbc47cb · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e010f38e-c86f-4eba-a7b4-83e73276cafd · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies The following section shows how to understand the results with an example
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a7357b0c-4a9f-4d8a-a416-73bac1155633 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 57
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b721386b-6df8-446a-bde8-14d76c6c1f66 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b85219db-6e94-4f80-b593-ba8c39e1b37e · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 85c4759a-fb28-474a-a388-4678b482837f · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fb216f47-85d1-4a0b-8455-d946f9af4081 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 18e1c178-c83a-4d71-b66a-c9c5267b017d · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d365ca1f-06a0-478c-bbde-46b5dc80b8ea · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies What is the policy at the edge of this region?
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b876cb71-3b20-45e0-92fa-d4e5b26c700b · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Slight perturbations cause noticeable changes in the explanation or in the operating modes it captures, while preserving core decision logic
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bed4a64f-a5d4-4437-a1f7-107e8917e971 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: The explanation reveals sources of bias, but fails to capture causes, e.g., resulting from the 21 environment
Reference 65
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 375f1842-8ac9-4583-bca2-6a2cd8f5dc41 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: The explanation supports reasoning about either policies with deviating behavior or slight environment variations, but not both
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6e306947-83ad-40ba-b2a6-2852e104f473 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Unresolved cited work
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e64e9a70-a9b6-4bec-aee0-f2ceb0ab848c · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Some factors leading to a decision are omitted and verification and validation requires substantial engineering
Reference 68
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 955f42ba-9f85-4bb2-b3b3-81559205f441 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: The explanation contains relevant details, but also details that are not necessary
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 72d855b9-a287-411e-92ab-aa9c4b99fe54 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: The explanation provides some insight, but modifications require familiarity with the control policy
Reference 70
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f3d43360-672a-49e0-83e8-6f520afbfbca · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Some partitions reflect expected operating modes, while some are arbitrary
Reference 71
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a914d9ac-5b10-470c-be13-6ab3ad290f8a · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Some regions have partial semantic meaning, but others are small, fragmented, or unrelated to the environment’s dynamics
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aeb792bc-872a-42fa-84ba-ae2523590321 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Users need to consider various regions and alternative decisions to trace failures, and failure causes cannot be unambiguously deduced
Reference 73
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d79d700e-942f-4407-a557-4f6927388a67 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies 3: Users knowing the environment understand the aspects of system dynamics that prompted the definition of several regions, while others do not correspond to system dynamics
Reference 74
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 64aa95c2-2d6a-4eb5-a167-07bb6fdb2de1 · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies They balance granularity and interpretability while maintaining clear semantic links to the envi- ronment’s dynamics
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3f39e2a3-e693-40fa-ad9d-82afdd8a6bce · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Regions capture essential dynamics without redundancy, balancing simplicity and completeness
Reference 76
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c85dc003-bf56-484f-85b0-b699c21aeccb · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies Parameters are interpretable and contribute to clear, concise explanations
Reference 77
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0d9c212c-2f87-4c7e-939c-557bd899d03a · outbound
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies rel. improvement
Reference 78
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
No inbound Pith citation observations are available.