Paper Citation Record · LEDGER

Model-based Lookahead Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.06012.

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

pith.paper-citation-record.v1
1908.06012 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:17:37.396552Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy36
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 776294e9-624a-46b1-b34f-dec4ae894125 · outbound

This paper cites P., Bertsekas, D.

Model-based Lookahead Reinforcement Learning P., Bertsekas, D

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.889625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fabf6bcb-aa9a-48b9-bbd0-ee0dd77e7150 · outbound

This paper cites Openai gym, 2016.

Model-based Lookahead Reinforcement Learning Openai gym, 2016

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.878927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 79be8fd6-875e-4cf9-8702-40e5ff0e7197 · outbound

This paper cites Sample-efﬁcient reinforcement learning with stochastic ensemble value expansion.

Model-based Lookahead Reinforcement Learning Sample-efﬁcient reinforcement learning with stochastic ensemble value expansion

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.867393Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 663cb465-4bec-4723-a978-1b559c5243f4 · outbound

This paper cites an unresolved cited work.

Model-based Lookahead Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:17:37.856698Z

Source-reported events for the cited work

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Observation 253a75bb-e7f7-4f74-a597-59d921778c19 · outbound

This paper cites Path integral guided policy search.

Model-based Lookahead Reinforcement Learning Path integral guided policy search

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.846467Z

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Observation db5b2ffc-cfc0-4def-854a-540962279506 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Model-based Lookahead Reinforcement Learning Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.836699Z

Source-reported events for the cited work

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Observation baaf0c54-ea46-4b32-8d0b-f287051b7d20 · outbound

This paper cites Model-Based Reinforcement Learning via Meta-Policy Optimization.

Model-based Lookahead Reinforcement Learning Model-Based Reinforcement Learning via Meta-Policy Optimization

Reference 7

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Source-reported events for the cited work

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Observation 419700fa-9bdc-4041-8247-5369737e0ac6 · outbound

This paper cites and Rasmussen, C.

Model-based Lookahead Reinforcement Learning and Rasmussen, C

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.826065Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56bfb4ff-688c-4536-908c-472cd95ce25e · outbound

This paper cites S., Landau, S., Leese, M., and Stahl, D.

Model-based Lookahead Reinforcement Learning S., Landau, S., Leese, M., and Stahl, D

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.816275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f18e2050-0ec2-43d4-b79d-1a4833bbc2ea · outbound

This paper cites Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning.

Model-based Lookahead Reinforcement Learning Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning

Reference 10

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Source-reported events for the cited work

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Observation 17609a03-51e6-4ea6-ac2e-5624f0034d74 · outbound

This paper cites E., Prett, D.

Model-based Lookahead Reinforcement Learning E., Prett, D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.807117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b727540-6c4d-4ceb-947c-3d31e4fce761 · outbound

This paper cites Continuous deep q-learning with model-based acceleration.

Model-based Lookahead Reinforcement Learning Continuous deep q-learning with model-based acceleration

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.796375Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d1db2bb-987b-4666-b769-6a848141db83 · outbound

This paper cites and Boedecker, J.

Model-based Lookahead Reinforcement Learning and Boedecker, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.785524Z

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Observation 62f1c7ac-bbd8-4ffc-9363-3849a644eb33 · outbound

This paper cites and Deisenroth, M.

Model-based Lookahead Reinforcement Learning and Deisenroth, M

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.775589Z

Source-reported events for the cited work

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Observation 5358cb5e-add2-4517-92d0-88e34577ed48 · outbound

This paper cites an unresolved cited work.

Model-based Lookahead Reinforcement Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:17:37.765337Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5616f29b-bf39-4dec-a9f4-6b963d9b0ceb · outbound

This paper cites Model-ensemble trust-region policy optimization.

Model-based Lookahead Reinforcement Learning Model-ensemble trust-region policy optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.755074Z

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Observation a455a082-acb5-44ae-9899-2397c76d6ff5 · outbound

This paper cites and Abbeel, P.

Model-based Lookahead Reinforcement Learning and Abbeel, P

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.744962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b8bcc0f-1d01-4f8b-b510-07c1bf1bd264 · outbound

This paper cites and Koltun, V.

Model-based Lookahead Reinforcement Learning and Koltun, V

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.734923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75a62b1e-2405-4a33-b68e-ee12129cb0ee · outbound

This paper cites P., Hunt, J.

Model-based Lookahead Reinforcement Learning P., Hunt, J

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.725309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbae266b-1913-4a45-9076-ca6ab5126c0d · outbound

This paper cites Plan online, learn ofﬂine: Efﬁcient learning and exploration via model-based control.

Model-based Lookahead Reinforcement Learning Plan online, learn ofﬂine: Efﬁcient learning and exploration via model-based control

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.715706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73cf11d9-66b6-44a8-9c0c-bdf1439f05cd · outbound

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

Model-based Lookahead Reinforcement Learning Human-level control through deep reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.705794Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1865dd4-34dd-4762-b6dd-ee2de984ae6d · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Model-based Lookahead Reinforcement Learning Asynchronous methods for deep reinforcement learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.695918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c68fccc3-3412-44ce-b418-421eb2ef496f · outbound

This paper cites S., and Levine, S.

Model-based Lookahead Reinforcement Learning S., and Levine, S

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.684445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4d28720-0592-4490-a536-5e382e40fa1d · outbound

This paper cites Value prediction network.

Model-based Lookahead Reinforcement Learning Value prediction network

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.674084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac5f6293-98cb-4644-be0e-142b86ac56b5 · outbound

This paper cites Temporal difference models: Model-free deep RL for model-based control.

Model-based Lookahead Reinforcement Learning Temporal difference models: Model-free deep RL for model-based control

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.662538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1718961-02c7-49f5-8569-33c92c5bf7aa · outbound

This paper cites Imagination-augmented agents for deep reinforcement learning.

Model-based Lookahead Reinforcement Learning Imagination-augmented agents for deep reinforcement learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.651777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39317062-92d7-4dfb-94ff-e2981f9a1b85 · outbound

This paper cites an unresolved cited work.

Model-based Lookahead Reinforcement Learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:17:37.641438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9447858-dad8-455c-840a-2e3088c36866 · outbound

This paper cites The cross-entropy method for combinatorial and continuous optimization.

Model-based Lookahead Reinforcement Learning The cross-entropy method for combinatorial and continuous optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.631844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 206744e1-bfc8-4557-a0f1-b9801517f350 · outbound

This paper cites Trust region policy optimization.

Model-based Lookahead Reinforcement Learning Trust region policy optimization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.621638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb6bb807-7553-4ba6-968b-46024598ae29 · outbound

This paper cites High-dimensional continuous control using generalized advantage estimation.

Model-based Lookahead Reinforcement Learning High-dimensional continuous control using generalized advantage estimation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.610305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b4a165f-b097-4e28-a023-39fa80f1ef2a · outbound

This paper cites Proximal Policy Optimization Algorithms.

Model-based Lookahead Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 31

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Source-reported events for the cited work

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Observation 1daab8d8-610c-45b8-87a9-8c9881af384a · outbound

This paper cites S., and Müller, M.

Model-based Lookahead Reinforcement Learning S., and Müller, M

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.599830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 04afc63b-720a-4d19-be61-ed2d927076be · outbound

This paper cites J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V ., Lanctot, M., et al.

Model-based Lookahead Reinforcement Learning J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V ., Lanctot, M., et al

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.590146Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e847c61d-8b81-484e-982a-f3fda0f64d4d · outbound

This paper cites an unresolved cited work.

Model-based Lookahead Reinforcement Learning Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:17:37.580310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38e879ad-ee36-4b66-8541-fa97091598cc · outbound

This paper cites an unresolved cited work.

Model-based Lookahead Reinforcement Learning Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:17:37.570878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ce5b5d7-cbcd-4d57-92c7-81690b31f1fa · outbound

This paper cites S., McAllester, D.

Model-based Lookahead Reinforcement Learning S., McAllester, D

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.560709Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d841f841-efcc-425f-a60a-f814578cc467 · outbound

This paper cites S., Szepesvári, C., Geramifard, A., and Bowling, M.

Model-based Lookahead Reinforcement Learning S., Szepesvári, C., Geramifard, A., and Bowling, M

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.550369Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48f487be-f315-421f-89be-0fea53bf9a3f · outbound

This paper cites Value iteration networks.

Model-based Lookahead Reinforcement Learning Value iteration networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.539359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af888445-fc10-4297-ba8d-c89d6c3db530 · outbound

This paper cites Synthesis and stabilization of complex behaviors through online trajectory optimization.

Model-based Lookahead Reinforcement Learning Synthesis and stabilization of complex behaviors through online trajectory optimization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.527957Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de43765c-0643-4f15-9614-49ef7830ea3d · outbound

This paper cites Control-limited differential dynamic programming.

Model-based Lookahead Reinforcement Learning Control-limited differential dynamic programming

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.515660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3eadc33b-c3f6-455d-9ec8-dd2eba3fa775 · outbound

This paper cites and Li, W.

Model-based Lookahead Reinforcement Learning and Li, W

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.502924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53a07cd6-27fe-4312-952c-055db9881305 · outbound

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

Model-based Lookahead Reinforcement Learning Mujoco: A physics engine for model-based control

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.492279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 353316e4-5ba0-4ae4-9ea6-1e772cb52d01 · outbound

This paper cites M., Boots, B., and Theodorou, E.

Model-based Lookahead Reinforcement Learning M., Boots, B., and Theodorou, E

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.480079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5759920e-d39d-4673-8b30-067003c84a6f · outbound

This paper cites an unresolved cited work.

Model-based Lookahead Reinforcement Learning Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:17:37.468351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c0b22320-15d7-462f-8600-aa8f9b155c09 · outbound

This paper cites Learning deep control policies for autonomous aerial vehicles with mpc-guided policy search.

Model-based Lookahead Reinforcement Learning Learning deep control policies for autonomous aerial vehicles with mpc-guided policy search

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:17:37.457788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

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