Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning | Paper Citation Record

Observation 834b2273-932a-4e92-9cc3-494e444867e1 · outbound

This paper cites Machine learning , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Machine learning , volume=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.116931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12bd851b-be0c-4587-a88e-8e5045eada13 · outbound

This paper cites Machine learning , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Machine learning , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.125517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ab2b70-7529-4ade-9d3c-4bb6132cd5af · outbound

This paper cites 1998 , publisher=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning 1998 , publisher=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.131429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b6cf0aa-46b9-4a19-b996-e39a565683c4 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.139308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation debd968b-cac0-4fde-9d45-b8718bb7b4a3 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.640450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b877c83e-c40e-43f4-a674-5abb61ebcb15 · outbound

This paper cites and Singh, Satinder P.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning and Singh, Satinder P

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.609883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a8c56f3-2484-4e55-a04c-f82d8f81af14 · outbound

This paper cites Advances in neural information processing systems , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in neural information processing systems , volume=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.158210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8636fba-5dfa-4f57-aa4a-d8842223c53d · outbound

This paper cites International conference on machine learning , pages=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning International conference on machine learning , pages=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.163562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86945018-3bd9-4ed1-9d3b-8a656a86de69 · outbound

This paper cites Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.170813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25c9158-9fed-4f50-b4a8-a1f00e1ef290 · outbound

This paper cites Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:06:50.980075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66e53fed-4356-44a0-808e-a68d3b469e54 · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Offline Reinforcement Learning with Implicit Q-Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.184883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20012c6e-ff60-40d2-8d45-2a8968370b20 · outbound

This paper cites Extreme Q-Learning: MaxEnt RL without Entropy.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Extreme Q-Learning: MaxEnt RL without Entropy

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.191923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 419d81fd-c36a-4ca0-8778-2907a4590fd6 · outbound

This paper cites Econometrica: Journal of the Econometric Society , pages=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Econometrica: Journal of the Econometric Society , pages=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.199804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68355baa-5fdd-4f87-a493-481468fe76aa · outbound

This paper cites Advances in neural information processing systems , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in neural information processing systems , volume=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.206054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb32992d-f383-4c1f-841e-67b1e79c1627 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Forty-second International Conference on Machine Learning , year=

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.492116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dab51c5b-b274-4c6b-a9a5-8c193c8191d0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems , volume=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.226614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496826eb-b602-4b24-8e85-a4cf9ca15887 · outbound

This paper cites International Conference on Learning Representations , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning International Conference on Learning Representations , volume=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.232980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9994f8e-f09f-4a61-92c5-328bb4e16d45 · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.239968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74d2f582-6ada-4aa0-a076-048f86a3b609 · outbound

This paper cites Revisiting the Minimalist Approach to Offline Reinforcement Learning , url =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Revisiting the Minimalist Approach to Offline Reinforcement Learning , url =

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.394137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a4c69b9-d45d-4b90-b579-d46226570b7c · outbound

This paper cites Flow Matching for Generative Modeling.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Flow Matching for Generative Modeling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.252484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da4a590a-0071-4cb1-856d-543180428c75 · outbound

This paper cites The International Journal of Robotics Research , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning The International Journal of Robotics Research , volume=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.259885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d44ecb98-a287-4476-b206-a7317ecaea3c · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning The Thirteenth International Conference on Learning Representations , year=

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.343344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09f93716-0152-4043-acce-878b7557a259 · outbound

This paper cites 2026 , eprint=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning 2026 , eprint=

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.307860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f64bd37b-89ba-43af-a3ed-b828eaf18312 · outbound

This paper cites Value-Based Deep.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Value-Based Deep

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.269376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c8cacb51-39ac-41e3-a043-5315563beba8 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.238878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 568ff334-8390-46a4-aad1-9113bf014708 · outbound

This paper cites 2025 , url=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning 2025 , url=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.299033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c18b6e6e-fa65-438d-90cc-923ebd1e319d · outbound

This paper cites an unresolved cited work.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-15T15:06:50.607406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d987d442-2f46-478f-a807-7d643c09c539 · outbound

This paper cites , title =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning , title =

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.193012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d2c3ccf7-3683-4645-9b9c-429042cf6316 · outbound

This paper cites 2024 , eprint=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning 2024 , eprint=

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.166940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ccb1c3ed-fea9-4510-8a41-81a05f66daf8 · outbound

This paper cites 2026 , eprint=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning 2026 , eprint=

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.141488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4fb82770-ea45-40ee-bee7-975f24d000fb · outbound

This paper cites Deep Reinforcement Learning and the Deadly Triad.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Deep Reinforcement Learning and the Deadly Triad

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.327384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f1bccf-156c-42cf-b501-0f374521c707 · outbound

This paper cites Proceedings of the 1993 connectionist models summer school , pages=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the 1993 connectionist models summer school , pages=

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.106774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b1eadec-d416-4fd4-adab-c085986120e4 · outbound

This paper cites Advances in neural information processing systems , volume=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in neural information processing systems , volume=

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:52.062103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ec39e56-1621-4dd7-a174-a7a0c921eaac · outbound

This paper cites Sur les op.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Sur les op

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.342760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5460b76-d901-4b88-89f4-4135348ed60a · outbound

This paper cites 2014 , publisher=.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning 2014 , publisher=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.347855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b8dddb-085d-4aa2-8ea1-4c3a6c988b37 · outbound

This paper cites Generalized quantiles as risk measures , journal =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Generalized quantiles as risk measures , journal =

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.352937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d657fc87-5285-4c5d-935c-3156b5ec8352 · outbound

This paper cites 2013 , month =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning 2013 , month =

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.357612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e126664-4372-44f1-8a2f-6d1917e4f7c5 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.362872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51363595-7795-464a-9960-2014b44e4987 · outbound

This paper cites Proceedings of the 36th International Conference on Machine Learning (ICML) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the 36th International Conference on Machine Learning (ICML) , year =

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.982027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04dce202-6b9d-4b43-81c4-a6c53edf6386 · outbound

This paper cites Advances in Neural Information Processing Systems 32 (NeurIPS) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems 32 (NeurIPS) , year =

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.952488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 584a5242-24fa-4346-9059-c24d2a2f407d · outbound

This paper cites Advances in Neural Information Processing Systems 33 (NeurIPS) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems 33 (NeurIPS) , year =

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.923532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e44361ea-def0-4f0f-af68-0cbfb2be80b8 · outbound

This paper cites Advances in Neural Information Processing Systems 34 (NeurIPS) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems 34 (NeurIPS) , year =

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.898227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7febf1af-9dde-4909-a21f-586a98d3f19a · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning International Conference on Learning Representations (ICLR) , year =

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.875190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f191590c-e1dc-4e78-bf6c-f7a0d6f0489f · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning International Conference on Learning Representations (ICLR) , year =

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.833757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 89319c69-97f7-4606-a6ce-d3faec6eef93 · outbound

This paper cites Advances in Neural Information Processing Systems 35 (NeurIPS) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems 35 (NeurIPS) , year =

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.807942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac5e6bf4-0354-4fbc-b3dd-dd336d88f302 · outbound

This paper cites Offline Reinforcement Learning as Anti-Exploration , booktitle =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Offline Reinforcement Learning as Anti-Exploration , booktitle =

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.773722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2cdb4a7-f0f9-472e-a7a4-112f3396bbc7 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning (ICML) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the 40th International Conference on Machine Learning (ICML) , year =

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.746685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab042adc-a7c6-412f-b1f8-2eb7a29ffcfe · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning (ICML) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the 38th International Conference on Machine Learning (ICML) , year =

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.715621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5842a013-6e7a-4a2f-bc18-2744fa0eb4f2 · outbound

This paper cites Advances in Neural Information Processing Systems 34 (NeurIPS) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems 34 (NeurIPS) , year =

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.680986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a063cd4-19df-4bcd-8aa6-9244456288f8 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning (ICML) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the 35th International Conference on Machine Learning (ICML) , year =

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.648641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f72edb3c-a79a-46cc-80a0-7570cc6b2ef4 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning (ICML) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the 37th International Conference on Machine Learning (ICML) , year =

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.616154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cfd3ffa-40db-4761-9787-4ac0b52919a1 · outbound

This paper cites Revisiting.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Revisiting

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.587948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4f97450-5921-4a03-8ad3-c1241a9a3717 · outbound

This paper cites Advances in Neural Information Processing Systems 38 (NeurIPS) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems 38 (NeurIPS) , year =

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.552686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c4301007-bce7-4822-b88c-31f0c0d25283 · outbound

This paper cites and Munos, R.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning and Munos, R

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.513390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e47060d1-6c2b-4120-86cf-347cfc7966fd · outbound

This paper cites Statistics and Samples in Distributional Reinforcement Learning , booktitle =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Statistics and Samples in Distributional Reinforcement Learning , booktitle =

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.456611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e848eb86-a4b3-430a-aa00-676d2b8aa517 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning International Conference on Learning Representations (ICLR) , year =

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.430630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33ded815-72d9-416e-a63f-8e8804e547fc · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning International Conference on Learning Representations (ICLR) , year =

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.403649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 670b1a81-6766-4050-ba76-1cf70d38fee3 · outbound

This paper cites and Zhou, Mingyuan , title =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning and Zhou, Mingyuan , title =

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.382181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a72d2690-b344-4752-ae67-70ee42ca6f48 · outbound

This paper cites and Kumar, Vikash and Levine, Sergey and Finn, Chelsea , title =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning and Kumar, Vikash and Levine, Sergey and Finn, Chelsea , title =

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.358454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a67bb99a-ebe4-4c44-8289-3586cbede48f · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:50.483090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b159dcac-838a-448f-9c8b-ea97161450e4 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (NeurIPS) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems 36 (NeurIPS) , year =

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.325830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a7f8a6a-1557-4061-8488-4eaf0592c0d5 · outbound

This paper cites and Smith, Laura and Kostrikov, Ilya and Levine, Sergey , title =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning and Smith, Laura and Kostrikov, Ilya and Levine, Sergey , title =

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.276547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 174d633a-e74d-4d99-9707-6fb712d0387c · outbound

This paper cites and Bellemare, Marc G.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning and Bellemare, Marc G

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.247226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b04cae4-6669-4745-a134-b74f16b7b5cc · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.207655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e9b1ee6-c62b-4dea-acdb-6b592f06a8f2 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.156893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab82142d-8529-443d-84e3-95f35dbfd25b · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning International Conference on Learning Representations (ICLR) , year =

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.120731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e1bd23b-ad48-41e2-a5c0-b5d1b711de30 · outbound

This paper cites Advances in Neural Information Processing Systems 37 (NeurIPS) , year =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Advances in Neural Information Processing Systems 37 (NeurIPS) , year =

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.090106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f33cebe7-29a0-40cf-ac69-445cb37dc799 · outbound

This paper cites Atti del Congresso Internazionale dei Matematici, Bologna , volume =.

Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning Atti del Congresso Internazionale dei Matematici, Bologna , volume =

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:06:51.060220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers