GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction | Paper Citation Record

Observation 3c66b37d-0547-48dc-9972-d389feb28a1e · outbound

This paper cites write newline.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction write newline

Reference 1

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Observation 0b9b7e75-9467-45f4-a15c-db43e48f9ebc · outbound

This paper cites R., Deshpande, A., and Motional, H.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction R., Deshpande, A., and Motional, H

Reference 2

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This paper cites Neural machine translation by jointly learning to align and translate.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Neural machine translation by jointly learning to align and translate

Reference 3

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Observation 6801b81c-5334-4d29-b08e-ae332c7558f1 · outbound

This paper cites H., Vora, S., Liong, V.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction H., Vora, S., Liong, V

Reference 4

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This paper cites Argoverse: 3d tracking and forecasting with rich maps.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Argoverse: 3d tracking and forecasting with rich maps

Reference 5

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Observation ffc1a420-7d9b-427e-84f2-718415700f24 · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction End-to-end Autonomous Driving: Challenges and Frontiers

Reference 6

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Observation 2d743f0b-28ee-42e0-a4ca-2077986ebe59 · outbound

This paper cites Multimodal trajectory predictions for autonomous driving using deep convolutional networks.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Multimodal trajectory predictions for autonomous driving using deep convolutional networks

Reference 7

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Observation 4c281ccf-2928-48c5-954b-562cb5d5e09c · outbound

This paper cites Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans

Reference 8

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Observation abb3d1c3-0eb7-4460-9156-cd459bc3e6f4 · outbound

This paper cites Multimodal trajectory prediction conditioned on lane-graph traversals.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Multimodal trajectory prediction conditioned on lane-graph traversals

Reference 9

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Observation 81192320-e068-4305-9842-76cb3617a56e · outbound

This paper cites Macformer: Map-agent coupled transformer for real-time and robust trajectory prediction.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Macformer: Map-agent coupled transformer for real-time and robust trajectory prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:20.132001Z

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Observation d8a3d24e-e553-4be8-8577-51c5c5e953a5 · outbound

This paper cites A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models

Reference 11

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Observation 6246f6d4-bbfe-4e71-bb86-9075cc3b8e24 · outbound

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

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Guided cost learning: Deep inverse optimal control via policy optimization

Reference 12

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Observation 3d488695-b870-40a0-821a-35f6a7bebcef · outbound

This paper cites Learning robust rewards with adverserial inverse reinforcement learning.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Learning robust rewards with adverserial inverse reinforcement learning

Reference 13

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Observation eea28c49-f6a4-4c51-a252-647088f4f711 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Vectornet: Encoding hd maps and agent dynamics from vectorized representation

Reference 14

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Observation f304fda3-0487-424c-b819-6502f05004d0 · outbound

This paper cites Dynamic scenario representation learning for motion forecasting with heterogeneous graph convolutional recurrent networks.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Dynamic scenario representation learning for motion forecasting with heterogeneous graph convolutional recurrent networks

Reference 15

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Observation 55671d20-1272-4b5d-9f57-d1f289b41922 · outbound

This paper cites Home: Heatmap output for future motion estimation.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Home: Heatmap output for future motion estimation

Reference 16

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Observation 0dd07500-a53e-4004-9faf-02853e7ea168 · outbound

This paper cites Thomas: Trajectory heatmap output with learned multi-agent sampling.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Thomas: Trajectory heatmap output with learned multi-agent sampling

Reference 17

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Observation c69e88e8-f263-4fe1-8fd2-1dec5578a8a4 · outbound

This paper cites Gohome: Graph-oriented heatmap output for future motion estimation.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Gohome: Graph-oriented heatmap output for future motion estimation

Reference 18

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This paper cites A., Kahou, S.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction A., Kahou, S

Reference 19

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Observation c65f2202-79ca-431d-a386-287bb6a911cb · outbound

This paper cites Densetnt: End-to-end trajectory prediction from dense goal sets.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Densetnt: End-to-end trajectory prediction from dense goal sets

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:18.289177Z

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Observation dddc2277-d794-4bb1-bfe6-2a9f4178f32e · outbound

This paper cites End-to-end trajectory distribution prediction based on occupancy grid maps.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction End-to-end trajectory distribution prediction based on occupancy grid maps

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:18.127208Z

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Observation dc699225-8d10-43c3-8a58-241da6a3c9ee · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial networks.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Social gan: Socially acceptable trajectories with generative adversarial networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.913051Z

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Observation 5bbdf4ec-e69b-49f3-8f3e-b90795909ce2 · outbound

This paper cites an unresolved cited work.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Unresolved cited work

Reference 23

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Observation cfba6dd5-9cfa-4f60-8275-424181796bac · outbound

This paper cites and Ermon, S.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction and Ermon, S

Reference 24

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Observation c646fdb0-e098-4f8d-8cd0-fd9ce41a4fd9 · outbound

This paper cites Vision-based Multi-future Trajectory Prediction: A Survey.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Vision-based Multi-future Trajectory Prediction: A Survey

Reference 25

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Observation f5fb30b2-c76f-460d-b7fe-7285fad595f6 · outbound

This paper cites Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.557720Z

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Observation 1f2e5c1a-2547-48c2-9944-7ad58524b259 · outbound

This paper cites Multimodal deep generative models for trajectory prediction: A conditional variational autoencoder approach.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Multimodal deep generative models for trajectory prediction: A conditional variational autoencoder approach

Reference 27

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Observation 6c77040e-a5d7-4965-b86a-0721fd8027b4 · outbound

This paper cites M., Ziebart, B.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction M., Ziebart, B

Reference 28

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Observation 377c3464-1e33-4028-8712-1fc29aa77a1f · outbound

This paper cites Socially compliant mobile robot navigation via inverse reinforcement learning.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Socially compliant mobile robot navigation via inverse reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:17.086891Z

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Observation e7571dc8-fa5e-48cb-b5b1-021513b5c070 · outbound

This paper cites SEPT: Towards Efficient Scene Representation Learning for Motion Prediction.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Reference 30

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Observation c4d21d23-e638-4103-840d-245fe3b293bc · outbound

This paper cites Learning lane graph representations for motion forecasting.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Learning lane graph representations for motion forecasting

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:16.911679Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6c64fdd-e9f3-4ea3-8beb-6e6c0b48b170 · outbound

This paper cites Feature pyramid networks for object detection.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Feature pyramid networks for object detection

Reference 32

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Observation 85cd4b5f-4ba1-4358-963b-97421214a8fb · outbound

This paper cites Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Reference 33

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Observation d10fb671-c540-4327-bb1b-e20dd4ea606c · outbound

This paper cites an unresolved cited work.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Unresolved cited work

Reference 34

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Observation ea724cf7-f1a2-4dd5-aff5-d51cee4cd3c3 · outbound

This paper cites A., Abbeel, P., Peters, J., et al.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction A., Abbeel, P., Peters, J., et al

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:16.432649Z

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Observation b2e2750f-ab30-43fc-9132-3da5877dd8ee · outbound

This paper cites R., Su, H., Mo, K., and Guibas, L.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction R., Su, H., Mo, K., and Guibas, L

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:16.262132Z

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Observation c7bae64d-a5ed-41ba-bd63-f11142dbce15 · outbound

This paper cites Scene compliant trajectory forecast with agent-centric spatio-temporal grids.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Scene compliant trajectory forecast with agent-centric spatio-temporal grids

Reference 37

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Observation 03a28527-9963-4e6f-b1bb-28ecced5ebb1 · outbound

This paper cites Motion transformer with global intention localization and local movement refinement.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Motion transformer with global intention localization and local movement refinement

Reference 38

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Observation 071ad481-8329-4223-9e4e-2b1ec83e9e80 · outbound

This paper cites Y., and Chen, Q.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Y., and Chen, Q

Reference 39

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Observation 19e39a88-f95f-475e-ba52-bf2c7958eb68 · outbound

This paper cites S., Nayakanti, N., Cornman, A., Chen, K., Douillard, B., Lam, C.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction S., Nayakanti, N., Cornman, A., Chen, K., Douillard, B., Lam, C

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:15.834127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a7f7165-8833-4825-a1d7-8229c83f34a2 · outbound

This paper cites Attention is all you need.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Attention is all you need

Reference 41

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 43aa22b8-2756-48ed-9496-4cd540e98697 · outbound

This paper cites Ganet: Goal area network for motion forecasting.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Ganet: Goal area network for motion forecasting

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:15.606040Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49f60ca4-ef76-4e75-8987-02500a94c26e · outbound

This paper cites Z., Ondruska, P., and Posner, I.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Z., Ondruska, P., and Posner, I

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:15.473109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fca8e941-db69-48b8-a672-395b9700b8c6 · outbound

This paper cites Improving out-of-distribution generalization of trajectory prediction for autonomous driving via polynomial representations.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Improving out-of-distribution generalization of trajectory prediction for autonomous driving via polynomial representations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:15.363774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 866fcb5f-64c8-47ec-94a1-2abf08464f8c · outbound

This paper cites an unresolved cited work.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:40:15.262069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9acf3c1b-bbce-4ee8-b59d-15ae2307f291 · outbound

This paper cites Tpcn: Temporal point cloud networks for motion forecasting.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Tpcn: Temporal point cloud networks for motion forecasting

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:15.153524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0db2fe53-e2bd-460d-8a4b-c66f4db73a73 · outbound

This paper cites Meta-inverse reinforcement learning with probabilistic context variables.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Meta-inverse reinforcement learning with probabilistic context variables

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.994843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b69d6f4-0675-4f0b-9095-2ec7de930a27 · outbound

This paper cites End-to-end interpretable neural motion planner.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction End-to-end interpretable neural motion planner

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.881710Z

Source-reported events for the cited work

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Observation 5f2cdeb5-3b2a-4d25-81ac-08da941b4b94 · outbound

This paper cites Lanercnn: Distributed representations for graph-centric motion forecasting.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Lanercnn: Distributed representations for graph-centric motion forecasting

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.782376Z

Source-reported events for the cited work

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Observation 2e241433-bf5d-42fd-ae2f-07165346a83e · outbound

This paper cites Trajectory prediction with graph-based dual-scale context fusion.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Trajectory prediction with graph-based dual-scale context fusion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.646345Z

Source-reported events for the cited work

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Observation f6cd2602-0933-443a-950f-671f8ece6115 · outbound

This paper cites Simpl: A simple and efficient multi-agent motion prediction baseline for autonomous driving.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Simpl: A simple and efficient multi-agent motion prediction baseline for autonomous driving

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.546227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a893ef7-0768-4707-8d9c-8a5101e383d4 · outbound

This paper cites Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.442996Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6e95fa2-1462-4826-8172-13a38a009236 · outbound

This paper cites Hivt: Hierarchical vector transformer for multi-agent motion prediction.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Hivt: Hierarchical vector transformer for multi-agent motion prediction

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.305939Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9a0af45-568d-4fe1-876f-770ea9f272be · outbound

This paper cites Query-centric trajectory prediction.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Query-centric trajectory prediction

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.221993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a5c6b502-d171-4b13-9c4b-b04b8b395d76 · outbound

This paper cites D., Maas, A.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction D., Maas, A

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.124794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a010175-7762-42c3-a9cf-2fa8b1bd689c · outbound

This paper cites D., Ratliff, N., Gallagher, G., Mertz, C., Peterson, K., Bagnell, J.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction D., Ratliff, N., Gallagher, G., Mertz, C., Peterson, K., Bagnell, J

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:40:14.007049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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