Robust Reward Alignment via Hypothesis Space Batch Cutting | Paper Citation Record

Observation c90ea59d-776a-4812-be9d-b6bbc4d740a8 · outbound

This paper cites GPT-4 Technical Report.

Robust Reward Alignment via Hypothesis Space Batch Cutting GPT-4 Technical Report

Reference 1

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Observation f72cd497-3718-4577-b12b-5f3fd559a746 · outbound

This paper cites April: Active preference learning-based reinforcement learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting April: Active preference learning-based reinforcement learning

Reference 2

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Observation 6caed3f8-8e48-47b1-b2dc-50f7a5c7e7ad · outbound

This paper cites Programming by feedback.

Robust Reward Alignment via Hypothesis Space Batch Cutting Programming by feedback

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:31.054467Z

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Observation 47dc248a-b856-4cd0-95b0-e0b1eaa7db73 · outbound

This paper cites K., Anil, R., and Koren, T.

Robust Reward Alignment via Hypothesis Space Batch Cutting K., Anil, R., and Koren, T

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.956444Z

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Observation 46256e2b-c53c-4186-97b0-34bce3b35b05 · outbound

This paper cites Fine-tuning language models to find agreement among humans with diverse preferences.

Robust Reward Alignment via Hypothesis Space Batch Cutting Fine-tuning language models to find agreement among humans with diverse preferences

Reference 5

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Observation 8d415488-0680-4e94-b953-c9f1da5d1dbb · outbound

This paper cites L., Harvey, N., Liaw, C., and Mehrabian, A.

Robust Reward Alignment via Hypothesis Space Batch Cutting L., Harvey, N., Liaw, C., and Mehrabian, A

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:28.826189Z

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Observation baa68838-deda-4f74-a280-a177ebdb6271 · outbound

This paper cites and Sadigh, D.

Robust Reward Alignment via Hypothesis Space Batch Cutting and Sadigh, D

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.834634Z

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Observation aea9c93c-9e6c-447a-b4f4-e2a9186800b8 · outbound

This paper cites Batch active learning of reward functions from human preferences.

Robust Reward Alignment via Hypothesis Space Batch Cutting Batch active learning of reward functions from human preferences

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.788939Z

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Observation 7cf28edb-17f1-4b13-a035-419a8b36a5b0 · outbound

This paper cites J., and Sadigh, D.

Robust Reward Alignment via Hypothesis Space Batch Cutting J., and Sadigh, D

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.781660Z

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Observation 79b9f3ad-7e0b-4948-80c6-501a781abbf9 · outbound

This paper cites an unresolved cited work.

Robust Reward Alignment via Hypothesis Space Batch Cutting Unresolved cited work

Reference 10

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Observation a7768408-fd99-484b-8b2d-e2ac559d44e5 · outbound

This paper cites K., Scheurer, J., Rando, J., Freedman, R., Korbak, T., Lindner, D., Freire, P., Wang, T.

Robust Reward Alignment via Hypothesis Space Batch Cutting K., Scheurer, J., Rando, J., Freedman, R., Korbak, T., Lindner, D., Freire, P., Wang, T

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.770751Z

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Observation 75b5cb6f-ee2e-4780-97a8-8b2224c690d8 · outbound

This paper cites Rime: Robust preference-based reinforcement learning with noisy preferences.

Robust Reward Alignment via Hypothesis Space Batch Cutting Rime: Robust preference-based reinforcement learning with noisy preferences

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.763353Z

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Observation 207fe773-bd59-4b53-bfcd-ff9bbe4e72fd · outbound

This paper cites F., Leike, J., Brown, T., Martic, M., Legg, S., and Amodei, D.

Robust Reward Alignment via Hypothesis Space Batch Cutting F., Leike, J., Brown, T., Martic, M., Legg, S., and Amodei, D

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:28.923060Z

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Observation a90cc916-4e2f-4847-b594-6e2d1da110cf · outbound

This paper cites Active reward learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting Active reward learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.751851Z

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Observation be4b8444-a54b-4481-9b09-616db01f7354 · outbound

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Robust Reward Alignment via Hypothesis Space Batch Cutting Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:43:30.744853Z

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Observation 3556975a-9c5d-4e36-a74d-37e12791b809 · outbound

This paper cites an unresolved cited work.

Robust Reward Alignment via Hypothesis Space Batch Cutting Unresolved cited work

Reference 16

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Observation 2aa62631-b756-4657-887b-66b3bdf78413 · outbound

This paper cites Dextreme: Transfer of agile in-hand manipulation from simulation to reality.

Robust Reward Alignment via Hypothesis Space Batch Cutting Dextreme: Transfer of agile in-hand manipulation from simulation to reality

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:29.087356Z

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Observation c90768d1-0497-4b55-9d14-9fc12726d149 · outbound

This paper cites A bound on the label complexity of agnostic active learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting A bound on the label complexity of agnostic active learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.728172Z

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Observation 5adef6a4-abde-478a-9fde-e2396446d4aa · outbound

This paper cites Contrastive preference learning: Learning from human feedback without rl.

Robust Reward Alignment via Hypothesis Space Batch Cutting Contrastive preference learning: Learning from human feedback without rl

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.720704Z

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Observation 6b157bd0-0fbf-4204-ab79-7901b94de3d3 · outbound

This paper cites an unresolved cited work.

Robust Reward Alignment via Hypothesis Space Batch Cutting Unresolved cited work

Reference 20

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Observation e2c450e8-3c25-4f76-acbf-a1854f0dce3c · outbound

This paper cites J., Kim, J., Kwak, M.

Robust Reward Alignment via Hypothesis Space Batch Cutting J., Kim, J., Kwak, M

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.708222Z

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Observation fd883f38-0857-4f0e-8e3e-3df5712aebd3 · outbound

This paper cites Anymal parkour: Learning agile navigation for quadrupedal robots.

Robust Reward Alignment via Hypothesis Space Batch Cutting Anymal parkour: Learning agile navigation for quadrupedal robots

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.700971Z

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Observation 105dff5c-cca8-4fcb-98a4-0cc41fa7cc85 · outbound

This paper cites Bayesian active learning for classification and preference learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting Bayesian active learning for classification and preference learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.623589Z

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Observation 5d47eb4f-7368-43bb-9402-13169fc760d9 · outbound

This paper cites Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo.

Robust Reward Alignment via Hypothesis Space Batch Cutting Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:29.355325Z

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Observation e7c590db-5767-421d-818f-3ec92b8b7e6d · outbound

This paper cites Reward learning from human preferences and demonstrations in atari.

Robust Reward Alignment via Hypothesis Space Batch Cutting Reward learning from human preferences and demonstrations in atari

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:29.371725Z

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Observation 51bf2fa3-9ec5-44f8-ad7b-1c626319c2e4 · outbound

This paper cites Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels.

Robust Reward Alignment via Hypothesis Space Batch Cutting Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels

Reference 26

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Observation f1ba41ef-b407-40d3-aecb-2c43d8d25f0a · outbound

This paper cites D., Lu, Z., and Mou, S.

Robust Reward Alignment via Hypothesis Space Batch Cutting D., Lu, Z., and Mou, S

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.561042Z

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Observation f11811a7-a8b8-4459-aecf-fc6097ce0a29 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Robust Reward Alignment via Hypothesis Space Batch Cutting Adam: A Method for Stochastic Optimization

Reference 28

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Observation 95374d00-e105-4bc7-ab63-08b4cc1eb262 · outbound

This paper cites Crafting papers on machine learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting Crafting papers on machine learning

Reference 29

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Observation c0cd69ee-c286-4026-8d6c-d99fc2107da2 · outbound

This paper cites Robust inference via generative classifiers for handling noisy labels.

Robust Reward Alignment via Hypothesis Space Batch Cutting Robust inference via generative classifiers for handling noisy labels

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.539682Z

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Observation d2c12e43-d28d-4bc1-83a9-02cf4b1bb1b7 · outbound

This paper cites B-pref: Benchmarking preference-based reinforcement learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting B-pref: Benchmarking preference-based reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.532911Z

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Observation a6475070-01e0-4310-81f0-89150137b3d4 · outbound

This paper cites M., and Abbeel, P.

Robust Reward Alignment via Hypothesis Space Batch Cutting M., and Abbeel, P

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.526717Z

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Observation de70b1c5-8dd4-4ecf-a9d0-38348615a996 · outbound

This paper cites CANDERE-COACH: Reinforcement Learning from Noisy Feedback.

Robust Reward Alignment via Hypothesis Space Batch Cutting CANDERE-COACH: Reinforcement Learning from Noisy Feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:29.440352Z

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Observation 1633ce63-34da-4a49-ba0a-f9916dd8ea40 · outbound

This paper cites Reward uncertainty for exploration in preference-based reinforcement learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting Reward uncertainty for exploration in preference-based reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.520002Z

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Observation 0b241ae0-1068-414b-835b-ce3093103431 · outbound

This paper cites Meta-reward-net: Implicitly differentiable reward learning for preference-based reinforcement learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting Meta-reward-net: Implicitly differentiable reward learning for preference-based reinforcement learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.513205Z

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Observation 2a36d83c-1c8c-489b-8898-e4c8d06a4d8d · outbound

This paper cites Does label smoothing mitigate label noise? In International Conference on Machine Learning, pp.\ 6448--6458.

Robust Reward Alignment via Hypothesis Space Batch Cutting Does label smoothing mitigate label noise? In International Conference on Machine Learning, pp.\ 6448--6458

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.505542Z

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Observation 600468a7-b4e1-4554-96fe-91d8ec0893ec · outbound

This paper cites Normalized loss functions for deep learning with noisy labels.

Robust Reward Alignment via Hypothesis Space Batch Cutting Normalized loss functions for deep learning with noisy labels

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.497933Z

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Observation e173d207-2496-40bd-83f0-81aaf3a58a02 · outbound

This paper cites Learning multimodal rewards from rankings.

Robust Reward Alignment via Hypothesis Space Batch Cutting Learning multimodal rewards from rankings

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.490607Z

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Observation 329a7e06-693f-481f-92dd-b8ffa2be7630 · outbound

This paper cites Active reward learning from online preferences.

Robust Reward Alignment via Hypothesis Space Batch Cutting Active reward learning from online preferences

Reference 39

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Observation d982223b-d224-4711-af23-c842965d9327 · outbound

This paper cites SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:29.459491Z

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Observation b803d692-1b8f-4421-96ca-b7c9ab70b817 · outbound

This paper cites In-hand object rotation via rapid motor adaptation.

Robust Reward Alignment via Hypothesis Space Batch Cutting In-hand object rotation via rapid motor adaptation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.454283Z

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Observation 493d9cf1-8e79-4aeb-9717-1b5d1dee2469 · outbound

This paper cites Real-world humanoid locomotion with reinforcement learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting Real-world humanoid locomotion with reinforcement learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.379298Z

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Observation fa30657b-5875-447a-b850-6f022d688130 · outbound

This paper cites D., Sastry, S.

Robust Reward Alignment via Hypothesis Space Batch Cutting D., Sastry, S

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.372186Z

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Observation 98783067-ef83-449d-8754-5ff5bceaee6c · outbound

This paper cites Active Learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting Active Learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.365180Z

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Observation 84607223-87fc-4817-aced-ef6d4cecf125 · outbound

This paper cites and Joachims, T.

Robust Reward Alignment via Hypothesis Space Batch Cutting and Joachims, T

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.358134Z

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Observation 65af65c1-3e78-4ed1-8d39-e699357bd6dd · outbound

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

Robust Reward Alignment via Hypothesis Space Batch Cutting Mujoco: A physics engine for model-based control

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:29.505481Z

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Observation 8c461b5e-e3bc-4537-af70-750e50c71fb1 · outbound

This paper cites Deepgait: Planning and control of quadrupedal gaits using deep reinforcement learning.

Robust Reward Alignment via Hypothesis Space Batch Cutting Deepgait: Planning and control of quadrupedal gaits using deep reinforcement learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.350777Z

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Observation 7b5061c5-85a9-4756-8663-a7dbaf852d99 · outbound

This paper cites Statistical learning theory.

Robust Reward Alignment via Hypothesis Space Batch Cutting Statistical learning theory

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.342935Z

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Observation d9eaba56-96bd-4b1e-b4da-63c707eb2255 · outbound

This paper cites Model Predictive Path Integral Control using Covariance Variable Importance Sampling.

Robust Reward Alignment via Hypothesis Space Batch Cutting Model Predictive Path Integral Control using Covariance Variable Importance Sampling

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:29.626321Z

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Observation d612c389-17e6-488a-ad68-bcbbcbb6b901 · outbound

This paper cites A survey of preference-based reinforcement learning methods.

Robust Reward Alignment via Hypothesis Space Batch Cutting A survey of preference-based reinforcement learning methods

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:29.688311Z

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Observation 6c84d1ad-ae80-4237-bf06-93a289dd362a · outbound

This paper cites J., and Jin, W.

Robust Reward Alignment via Hypothesis Space Batch Cutting J., and Jin, W

Reference 51

Resolution: verified exact; raw_fallback, observed 2026-08-09T10:43:30.044746Z

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

Observation 98541519-e0c2-4f32-bf4e-d08c7828c5eb · outbound

This paper cites Reinforcement learning from diverse human preferences.

Robust Reward Alignment via Hypothesis Space Batch Cutting Reinforcement learning from diverse human preferences

Reference 52

Resolution: verified exact; doi, observed 2026-08-09T10:43:29.960746Z

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Observation 222d7e08-795e-4030-a439-79181c413d65 · outbound

This paper cites W., Zhang, Y., Sun, J., Zhang, C., and Zhang, R.

Robust Reward Alignment via Hypothesis Space Batch Cutting W., Zhang, Y., Sun, J., Zhang, C., and Zhang, R

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.331409Z

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

Observation 612708e9-1ebf-4201-a4a4-50eba0878a15 · outbound

This paper cites Rotating without seeing: Towards in-hand dexterity through touch.

Robust Reward Alignment via Hypothesis Space Batch Cutting Rotating without seeing: Towards in-hand dexterity through touch

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.323771Z

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Observation 4b58ab11-be9c-4095-98f7-ebb51bfb6c50 · outbound

This paper cites Uni-rlhf: Universal platform and benchmark suite for reinforcement learning with diverse human feedback.

Robust Reward Alignment via Hypothesis Space Batch Cutting Uni-rlhf: Universal platform and benchmark suite for reinforcement learning with diverse human feedback

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.316013Z

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

Observation cf8037f1-49f0-45ea-9177-7b698dfb0fcc · outbound

This paper cites N., and Lopez-Paz, D.

Robust Reward Alignment via Hypothesis Space Batch Cutting N., and Lopez-Paz, D

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:43:30.308089Z

Source-reported events for the cited work

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

Observation 3f602393-683b-4a46-b1c6-a2c40e78eaca · outbound

This paper cites Robust curriculum learning: from clean label detection to noisy label self-correction.

Robust Reward Alignment via Hypothesis Space Batch Cutting Robust curriculum learning: from clean label detection to noisy label self-correction

Reference 57

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Observation 306be71d-1d9d-4666-9187-3a028e1bf514 · outbound

This paper cites A., Atkeson, C.

Robust Reward Alignment via Hypothesis Space Batch Cutting A., Atkeson, C

Reference 58

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Observation cfd5d2b2-3fdc-41af-b6ed-da0903ac5905 · outbound

This paper cites write newline.

Robust Reward Alignment via Hypothesis Space Batch Cutting write newline

Reference 59

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