Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance | Paper Citation Record

Observation cfda12c4-2276-4e75-8f10-3568915b9eb5 · outbound

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

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Human-level control through deep reinforcement learning,

Reference 1

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This paper cites Exploration in deep rein- forcement learning: A survey,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Exploration in deep rein- forcement learning: A survey,

Reference 2

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This paper cites Imitation learning: Progress, taxonomies and challenges,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Imitation learning: Progress, taxonomies and challenges,

Reference 3

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Observation cadc9461-5a1c-41c0-95b3-a42b51a496e9 · outbound

This paper cites Denoising Diffusion Implicit Models.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Denoising Diffusion Implicit Models

Reference 4

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This paper cites Improved denoising diffusion proba- bilistic models,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Improved denoising diffusion proba- bilistic models,

Reference 5

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This paper cites High- resolution image synthesis with latent diffusion models,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance High- resolution image synthesis with latent diffusion models,

Reference 6

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Observation 01534b9c-6941-4035-a1cf-bde1cf9e43ba · outbound

This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 7

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Observation 6d7eccd7-cf17-4fdb-b994-5ce2f650d70b · outbound

This paper cites Planning with diffusion for flexible behavior synthesis,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Planning with diffusion for flexible behavior synthesis,

Reference 8

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Observation 0547843b-587a-4aa8-a99e-4cbfd929dfab · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 9

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Observation 999c0232-4fa7-484d-ab07-36d20f2deae3 · outbound

This paper cites Recent trends in task and motion planning for robotics: A survey,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Recent trends in task and motion planning for robotics: A survey,

Reference 10

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Observation 0ded3126-a8f4-4566-a1d4-66c393f2514f · outbound

This paper cites Sampling-based motion planning: A comparative review,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Sampling-based motion planning: A comparative review,

Reference 11

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Observation 43399ff3-c472-4c5a-baaa-07bae90f1001 · outbound

This paper cites Hybrid hierarchical learn- ing for solving complex sequential tasks using the robotic manipulation network roman,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Hybrid hierarchical learn- ing for solving complex sequential tasks using the robotic manipulation network roman,

Reference 12

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Observation 6adf61de-5354-4af2-bd96-561b7bcecf61 · outbound

This paper cites Reinforcement learning in robotic applications: a comprehensive survey,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Reinforcement learning in robotic applications: a comprehensive survey,

Reference 13

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Observation 9bbaeea3-c9a6-4b16-a447-0e6bb867a6ec · outbound

This paper cites A survey on offline reinforcement learning: Taxonomy, review, and open problems,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance A survey on offline reinforcement learning: Taxonomy, review, and open problems,

Reference 14

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Observation 66e077ef-ee35-4690-88ef-60ded81bba0b · outbound

This paper cites A hierarchical framework for long horizon planning of object-contact trajectories,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance A hierarchical framework for long horizon planning of object-contact trajectories,

Reference 15

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Observation ba59fcc6-d0ce-485c-88f4-d43ff81fbbaa · outbound

This paper cites Enhancing dexterity in robotic manipulation via hierarchical contact exploration,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Enhancing dexterity in robotic manipulation via hierarchical contact exploration,

Reference 16

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Observation e2140dd8-d17a-4a26-bfbe-fdba34a4b5d5 · outbound

This paper cites Hierarchical learning of robotic contact policies,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Hierarchical learning of robotic contact policies,

Reference 17

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Observation 327c995f-9304-4ebe-86c6-22491d04f3a2 · outbound

This paper cites A learning based hierarchical control framework for human-robot collaboration,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance A learning based hierarchical control framework for human-robot collaboration,

Reference 18

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Observation d09047ed-5de6-4cf6-b70b-17ffd3a564cf · outbound

This paper cites Multi-stage cable routing through hierarchical imitation learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Multi-stage cable routing through hierarchical imitation learning,

Reference 19

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Observation b0bc3aed-7092-428d-94f2-96637d402fa2 · outbound

This paper cites Bottom-up skill discovery from un- segmented demonstrations for long-horizon robot manipulation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Bottom-up skill discovery from un- segmented demonstrations for long-horizon robot manipulation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.526077Z

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Observation 6f336398-5457-443e-af39-e38b9b82cfe6 · outbound

This paper cites Hierarchical reinforcement learning with universal policies for multi- step robotic manipulation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Hierarchical reinforcement learning with universal policies for multi- step robotic manipulation,

Reference 21

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Observation 86bf8875-435c-48b6-9e07-ccf3f17bf138 · outbound

This paper cites Residual skill policies: Learning an adaptable skill-based action space for rein- forcement learning for robotics,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Residual skill policies: Learning an adaptable skill-based action space for rein- forcement learning for robotics,

Reference 22

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This paper cites Compositional foundation models for hierarchical planning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Compositional foundation models for hierarchical planning,

Reference 23

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Observation 38b6a28d-14c2-4c2d-b77f-d54cf132e3bb · outbound

This paper cites Chain-of-Thought Predictive Control.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Chain-of-Thought Predictive Control

Reference 24

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This paper cites Do as i can, not as i say: Grounding language in robotic affordances,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Do as i can, not as i say: Grounding language in robotic affordances,

Reference 25

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Observation 91d4e149-2ff6-42e4-89af-e8927f2d165e · outbound

This paper cites Deep hierarchical planning from pixels,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Deep hierarchical planning from pixels,

Reference 26

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Observation 50d5c382-45a6-454d-b1dd-947d53a853b5 · outbound

This paper cites Adjacency constraint for efficient hierarchical reinforcement learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Adjacency constraint for efficient hierarchical reinforcement learning,

Reference 27

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Observation 457a6dbc-c35f-464b-97b9-c66a60abfe3b · outbound

This paper cites Planning irregular object packing via hierarchical reinforcement learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Planning irregular object packing via hierarchical reinforcement learning,

Reference 28

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Observation 636d834e-5c5f-42c2-8e00-fa8fbf5dce04 · outbound

This paper cites Hierarchical diffusion policy for kinematics-aware multi-task robotic manipulation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Hierarchical diffusion policy for kinematics-aware multi-task robotic manipulation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.400886Z

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Observation 0539c4a5-f8a0-4266-a59a-7cf91ee23f03 · outbound

This paper cites Multi-stage reinforcement learning for non-prehensile manipulation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Multi-stage reinforcement learning for non-prehensile manipulation,

Reference 30

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Observation ceb14c30-2045-4839-93e2-b0680c388bb9 · outbound

This paper cites Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,

Reference 31

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Observation c95bf493-d13f-4924-bfd3-0bcecf7b5a5a · outbound

This paper cites Self-supervised correspon- dence in visuomotor policy learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Self-supervised correspon- dence in visuomotor policy learning,

Reference 32

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Observation af80af21-6800-4af5-b9a9-fe53049fdd94 · outbound

This paper cites The magical benchmark for robust imitation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance The magical benchmark for robust imitation,

Reference 33

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Observation 1d79ffd0-b775-4c8f-be1e-86b41596c7db · outbound

This paper cites Transporter networks: Rearranging the visual world for robotic manipulation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Transporter networks: Rearranging the visual world for robotic manipulation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.338397Z

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Observation 28fa7644-c76a-4874-ad28-4cde9c0710dd · outbound

This paper cites Speedfolding: Learning efficient bimanual folding of garments,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Speedfolding: Learning efficient bimanual folding of garments,

Reference 35

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Observation 84e6a813-d885-4d9a-a224-22a23f53e90d · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance What matters in learning from offline human demonstrations for robot manipulation,

Reference 36

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This paper cites Implicit behavioral cloning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Implicit behavioral cloning,

Reference 37

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Observation bf0cad7a-ae8b-4c32-a964-138ee738f99a · outbound

This paper cites Improved contrastive di- vergence training of energy-based models,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Improved contrastive di- vergence training of energy-based models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.252225Z

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This paper cites Learning the stein discrepancy for training and evaluating energy-based models without sampling,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Learning the stein discrepancy for training and evaluating energy-based models without sampling,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.230947Z

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Observation 5a82b327-f34e-453b-8009-1b527156cd45 · outbound

This paper cites Offline rein- forcement learning with realizability and single-policy concentrability,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Offline rein- forcement learning with realizability and single-policy concentrability,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.214796Z

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Observation 454e7fa1-518d-4d54-9c07-8f05273cffad · outbound

This paper cites Adversarially trained actor critic for offline reinforcement learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Adversarially trained actor critic for offline reinforcement learning,

Reference 41

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Observation d99d1077-755b-48c1-9265-59bd907dfbdb · outbound

This paper cites Action- quantized offline reinforcement learning for robotic skill learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Action- quantized offline reinforcement learning for robotic skill learning,

Reference 42

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Observation 99084a4a-61fc-4e61-84ba-719e16b777d9 · outbound

This paper cites Off-policy deep reinforcement learning without exploration,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Off-policy deep reinforcement learning without exploration,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.164448Z

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Observation 7bf39d5d-eef0-485d-bd5b-9206ac0347d2 · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 44

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Observation a59a16d2-9f78-434b-a07b-ed9fcd862532 · outbound

This paper cites Eligibility traces for off-policy policy evaluation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Eligibility traces for off-policy policy evaluation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.148123Z

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Observation b6235c4b-fc81-4d03-8633-ed03fd3f715a · outbound

This paper cites Gendice: Generalized offline estimation of stationary values,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Gendice: Generalized offline estimation of stationary values,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.132275Z

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Observation 4805823e-39c6-4f43-a2da-4e424a060e9d · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.112549Z

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Observation 89672416-044c-471c-9d02-9b6753f41768 · outbound

This paper cites Conservative q-learning for offline reinforcement learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Conservative q-learning for offline reinforcement learning,

Reference 48

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Observation 238e0610-bc3c-4632-8e37-08a8783da8c8 · outbound

This paper cites An optimistic perspec- tive on offline reinforcement learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance An optimistic perspec- tive on offline reinforcement learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.077256Z

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Observation 9263abf8-a7c0-4b90-ab59-54e246d55c69 · outbound

This paper cites Cascaded diffusion models for high fidelity image generation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Cascaded diffusion models for high fidelity image generation,

Reference 50

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Observation 30c1a7fe-0b46-4a82-b502-1bd1f4786ed9 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Diffusion models beat gans on image synthesis,

Reference 51

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This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.038751Z

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Observation 02b5807e-5541-4398-8a25-ce04377f7471 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 53

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Observation 62727111-53f5-4254-804c-6332a14e17f2 · outbound

This paper cites Lion: Latent point diffusion models for 3d shape generation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Lion: Latent point diffusion models for 3d shape generation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.021570Z

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Observation 580cfef9-b0a5-489c-864b-e317ce5d151a · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Diffusion probabilistic models for 3d point cloud generation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:33.003593Z

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This paper cites Training Diffusion Models with Reinforcement Learning.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Training Diffusion Models with Reinforcement Learning

Reference 56

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Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Is conditional generative modeling all you need for de- cision making?

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:32.987260Z

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This paper cites Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning

Reference 58

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Observation 99e2c951-9fe6-41d6-b8c1-e6c528473ed3 · outbound

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Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Classifier-Free Diffusion Guidance

Reference 59

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Observation 5a1e17bf-7c9b-4bbd-954d-226ea0a202fb · outbound

This paper cites Receding horizon control of nonlinear systems,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Receding horizon control of nonlinear systems,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:32.971133Z

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Observation 65736fb6-5a5e-4036-ac83-7ef99db1c2fe · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 61

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Observation 52d9c586-abd6-4277-9c23-7cbb1a27244f · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 62

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Observation acb462c3-2d85-4872-b30c-3ab3b72e382d · outbound

This paper cites Diffusion policies for out-of- distribution generalization in offline reinforcement learning,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Diffusion policies for out-of- distribution generalization in offline reinforcement learning,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:32.935009Z

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Observation 53636104-74cf-4d06-a5b9-7eaeb8b46c1a · outbound

This paper cites Behavior transformers: Cloning k modes with one stone,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Behavior transformers: Cloning k modes with one stone,

Reference 64

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Observation 98747b99-0511-43ce-8e56-615abb2b41e2 · outbound

This paper cites V oxposer: Composable 3d value maps for robotic manipulation with language models,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance V oxposer: Composable 3d value maps for robotic manipulation with language models,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:32.904766Z

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Observation 4e02b2af-4fb6-40fe-8272-0c781ca58000 · outbound

This paper cites Palm-e: An embodied multimodal language model,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Palm-e: An embodied multimodal language model,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:32.885121Z

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Observation c79e7312-9831-4bdd-9373-ce22ff68de34 · outbound

This paper cites Language models as zero-shot trajectory generators,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance Language models as zero-shot trajectory generators,

Reference 67

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Observation 51f156b6-4866-43d7-adce-14bcd25ea016 · outbound

This paper cites On the sample complexity of actor-critic method for reinforcement learning with function approxima- tion,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance On the sample complexity of actor-critic method for reinforcement learning with function approxima- tion,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:06:32.866128Z

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Observation c3301990-a4e4-4eb5-9cd7-35b65485df9c · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T17:06:32.490722Z

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Observation dd93b17a-b204-45c4-a18e-ab64f087222d · outbound

This paper cites On the continuity of rotation representations in neural networks,.

Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidance On the continuity of rotation representations in neural networks,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T17:06:32.495395Z

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