Policy Learning from Large Vision-Language Model Feedback without Reward Modeling | Paper Citation Record

Observation d86a3918-632c-41cb-96db-7e84a500fd33 · outbound

This paper cites Grandmaster level in starcraft ii using multi-agent reinforcement learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Grandmaster level in starcraft ii using multi-agent reinforcement learning,

Reference 1

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This paper cites Mastering the game of stratego with model-free multiagent reinforcement learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Mastering the game of stratego with model-free multiagent reinforcement learning,

Reference 2

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This paper cites Autonomous navigation of stratospheric balloons using reinforcement learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Autonomous navigation of stratospheric balloons using reinforcement learning,

Reference 3

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This paper cites Champion-level drone racing using deep reinforce- ment learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Champion-level drone racing using deep reinforce- ment learning,

Reference 4

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This paper cites Scalable deep reinforcement learning for vision-based robotic manipulation,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Scalable deep reinforcement learning for vision-based robotic manipulation,

Reference 5

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This paper cites Hindsight goal ranking on replay buffer for sparse reward environment,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Hindsight goal ranking on replay buffer for sparse reward environment,

Reference 6

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This paper cites Towards human-level bimanual dexterous manipulation with reinforcement learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Towards human-level bimanual dexterous manipulation with reinforcement learning,

Reference 7

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Observation 50c51c11-9492-47af-9a70-88c7bf7445b3 · outbound

This paper cites Inverse reward design,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Inverse reward design,

Reference 8

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Observation 72ac7b64-fd7e-47fa-a629-f32c811466c5 · outbound

This paper cites Defining and characterizing reward gaming,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Defining and characterizing reward gaming,

Reference 9

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Observation 33304b4d-4ea2-4024-a569-c351f393f74e · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 10

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This paper cites Hear: Hearing enhanced audio response for video-grounded dialogue,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Hear: Hearing enhanced audio response for video-grounded dialogue,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:07.161546Z

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Observation 9861685b-8ecc-4ebf-84cd-ae559635bbee · outbound

This paper cites AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?

Reference 12

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Observation 3ff0ba41-1dde-4a6d-aaf5-81e551420daa · outbound

This paper cites Openvla: An open- source vision-language-action model,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Openvla: An open- source vision-language-action model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:07.148207Z

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Observation 90785889-ab61-4ee7-baca-7740c7e856ce · outbound

This paper cites Code as reward: Empowering reinforcement learning with vlms,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Code as reward: Empowering reinforcement learning with vlms,

Reference 14

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Observation 85304670-8ea2-448d-9050-bcfb8f5d74db · outbound

This paper cites Guiding pretraining in reinforcement learning with large language models,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Guiding pretraining in reinforcement learning with large language models,

Reference 15

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Observation 714b9b62-b76f-476f-b886-341a23db2840 · outbound

This paper cites Bootstrap your own skills: Learning to solve new tasks with large language model guidance,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Bootstrap your own skills: Learning to solve new tasks with large language model guidance,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:07.105934Z

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Observation 5e4493de-196c-412e-8578-dcd5b8cb6686 · outbound

This paper cites Code as policies: Language model programs for embodied control,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Code as policies: Language model programs for embodied control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:07.092568Z

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Observation c85d74e0-5ce3-40af-a9b5-ffa6c0a81b6f · outbound

This paper cites Progprompt: Generating situ- ated robot task plans using large language models,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Progprompt: Generating situ- ated robot task plans using large language models,

Reference 18

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Observation 5d23bd93-0fc2-44dc-9464-340108aa7af3 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Learning transferable visual models from natural language supervision,

Reference 19

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Observation 70a94aae-ba42-47f9-9077-52c2af4d89e6 · outbound

This paper cites Roboclip: One demonstration is enough to learn robot policies,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Roboclip: One demonstration is enough to learn robot policies,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:07.052754Z

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Observation 8eef3b20-dae8-4971-b742-c7fc13caa125 · outbound

This paper cites Vision-language models are zero-shot reward models for reinforce- ment learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Vision-language models are zero-shot reward models for reinforce- ment learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:07.039310Z

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Observation fbf8ed2d-8284-418f-99fa-3dc39fbebcaf · outbound

This paper cites Rl-vlm-f: Reinforcement learning from vision language foundation model feedback,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Rl-vlm-f: Reinforcement learning from vision language foundation model feedback,

Reference 22

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Observation 550f14f4-b8f1-4d14-b23e-eb9092bb1a0e · outbound

This paper cites Language to rewards for robotic skill synthesis,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Language to rewards for robotic skill synthesis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:07.007379Z

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Observation 877111fb-e0e4-422f-a5cf-5b3f9e168413 · outbound

This paper cites Text2reward: Automated dense reward function generation for reinforcement learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Text2reward: Automated dense reward function generation for reinforcement learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.992559Z

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Observation 0733e202-e99f-439a-a7b8-d8c258473669 · outbound

This paper cites Real- world offline reinforcement learning from vision language model feedback,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Real- world offline reinforcement learning from vision language model feedback,

Reference 25

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Observation 43179de3-2947-4c83-a0ea-d96d4e7f53b8 · outbound

This paper cites Deep reinforcement learning from human preferences,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Deep reinforcement learning from human preferences,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.961152Z

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This paper cites B-pref: Benchmark- ing preference-based reinforcement learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling B-pref: Benchmark- ing preference-based reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.946274Z

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Observation ef05fdd8-34a2-4753-8d8e-5f56fad7ed87 · outbound

This paper cites Inverse preference learning: Preference- based rl without a reward function,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Inverse preference learning: Preference- based rl without a reward function,

Reference 28

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This paper cites Information- theoretic text hallucination reduction for video-grounded dialogue,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Information- theoretic text hallucination reduction for video-grounded dialogue,

Reference 29

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This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 30

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This paper cites ” task success.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling ” task success

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.902589Z

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This paper cites Non-markovian reward modelling from trajectory labels via interpretable multiple instance learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Non-markovian reward modelling from trajectory labels via interpretable multiple instance learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.887933Z

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Observation 72d88e7a-fda6-49a0-a016-d2e5dccc8803 · outbound

This paper cites Preference transformer: Modeling human preferences using transformers for rl,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Preference transformer: Modeling human preferences using transformers for rl,

Reference 33

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This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 34

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

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Contrastive preference learning: learning from human feedback without rl,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.859858Z

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This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning,

Reference 36

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Observation bbe84bfb-b9ae-474f-a2bc-5ed0905421cc · outbound

This paper cites Minedojo: Building open- ended embodied agents with internet-scale knowledge,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Minedojo: Building open- ended embodied agents with internet-scale knowledge,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.831007Z

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Observation 42481d8c-6090-473e-8dd8-f976c4c9b6ac · outbound

This paper cites Liv: Language-image representations and rewards for robotic control,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Liv: Language-image representations and rewards for robotic control,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.815934Z

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Observation 2795730f-c34c-427c-9793-7c588fb38b78 · outbound

This paper cites Enhancing rating-based reinforcement learning to effectively leverage feedback from large vision-language models,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Enhancing rating-based reinforcement learning to effectively leverage feedback from large vision-language models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.801308Z

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Observation e63164c5-bc88-42d4-a54d-b93b68b8e753 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Alvinn: An autonomous land vehicle in a neural network,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.785403Z

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Observation d7dab82b-2566-4c20-bbe7-324be4c90642 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling RT-1: Robotics Transformer for Real-World Control at Scale

Reference 41

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Observation 8707109c-e502-4633-a6ed-39610003a681 · outbound

This paper cites Interactive language: Talking to robots in real time,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Interactive language: Talking to robots in real time,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.771071Z

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Observation 01b44d5b-b02c-4643-b407-02bed96ab2ac · outbound

This paper cites Predictive coding for decision transformer,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Predictive coding for decision transformer,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.757046Z

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Observation b0511e0f-0019-4d67-a2d8-c5378948887e · outbound

This paper cites Algorithms for inverse reinforcement learning.,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Algorithms for inverse reinforcement learning.,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.743708Z

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Observation 05f636e7-57df-4bfd-804d-f60467f9aa22 · outbound

This paper cites Generative adversarial imitation learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Generative adversarial imitation learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.729304Z

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Observation 5c874bb1-a9d9-4080-a848-c047f95b7357 · outbound

This paper cites Nonlinear inverse reinforcement learning with gaussian processes,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Nonlinear inverse reinforcement learning with gaussian processes,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.712319Z

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Observation fc0123b2-7a7a-4255-99e3-5004f8857d7b · outbound

This paper cites Guided cost learning: Deep inverse optimal control via policy optimization,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Guided cost learning: Deep inverse optimal control via policy optimization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.697777Z

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Observation de2a873b-0c9f-4990-8f7a-3547bfe089b1 · outbound

This paper cites Learning robust rewards with adversarial inverse reinforcement learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Learning robust rewards with adversarial inverse reinforcement learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.681468Z

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Observation db2a8b19-33a6-4d4a-b545-3af8aeb66942 · outbound

This paper cites Confidence-aware imitation learning from demonstrations with varying optimality,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Confidence-aware imitation learning from demonstrations with varying optimality,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.656579Z

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Observation 3cf7a57e-9f41-4a69-b1b7-6b6cdc7fdc91 · outbound

This paper cites Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.641140Z

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Observation 5b55927f-a36d-4880-84e3-79efe33d8432 · outbound

This paper cites Denoising diffusion probabilistic models,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Denoising diffusion probabilistic models,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.626234Z

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Observation 39241caa-1c95-4fff-a31c-5ed6ea7859dc · outbound

This paper cites Mdsgen: Fast and efficient masked diffusion temporal-aware transformers for open-domain sound generation,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Mdsgen: Fast and efficient masked diffusion temporal-aware transformers for open-domain sound generation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.611140Z

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Observation 9f947a2b-236d-4fd3-9404-54abcfba526a · outbound

This paper cites Taro: Timestep-adaptive repre- sentation alignment with onset-aware conditioning for synchronized video-to-audio synthesis,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Taro: Timestep-adaptive repre- sentation alignment with onset-aware conditioning for synchronized video-to-audio synthesis,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.593396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e92706e-7a7b-4323-a8cf-85ed86701f44 · outbound

This paper cites Diffusion reward: Learning rewards via conditional video diffusion,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Diffusion reward: Learning rewards via conditional video diffusion,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.578865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb140fe9-36e6-4666-9332-607cb67ebe4f · outbound

This paper cites Di- rect preference-based policy optimization without reward modeling,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Di- rect preference-based policy optimization without reward modeling,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.563052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68b9331c-313b-4c30-9f7f-21f90f6926a2 · outbound

This paper cites Atari-head: Atari human eye- tracking and demonstration dataset,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Atari-head: Atari human eye- tracking and demonstration dataset,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.549341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 87eedce5-eaf1-4e6b-9fe1-fceda5a9af27 · outbound

This paper cites Scanet: Scene complexity aware network for weakly-supervised video moment retrieval,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Scanet: Scene complexity aware network for weakly-supervised video moment retrieval,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.535055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e55aa6e-935b-4cbe-902f-f1333c2e366f · outbound

This paper cites Learning deep networks from noisy labels with dropout regularization,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Learning deep networks from noisy labels with dropout regularization,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.519618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10c01c1f-f6a6-456c-ad6e-3b25919a5cb2 · outbound

This paper cites Compressing features for learning with noisy labels,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Compressing features for learning with noisy labels,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.505352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b11d135b-c4d3-4f63-bb9c-8fc8edefdc85 · outbound

This paper cites R3m: A universal visual representation for robot manipulation,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling R3m: A universal visual representation for robot manipulation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.489708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21a841f6-0ff4-45d1-a87a-9c64886d5b75 · outbound

This paper cites Offline reinforcement learning with implicit q-learning,.

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Offline reinforcement learning with implicit q-learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.474911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 071a7a7b-21da-46ea-a460-94122014cc96 · outbound

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

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling Rime: Robust preference-based reinforcement learning with noisy preferences,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:53:06.460060Z

Source-reported events for the cited work

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