Dream to Drive with Predictive Individual World Model | Paper Citation Record

Observation 96acec80-32a6-43c3-8f50-efc84d999a7c · outbound

This paper cites Interactive trajectory prediction using a driving risk map-integrated deep learning method for surrounding vehicles on highways,.

Dream to Drive with Predictive Individual World Model Interactive trajectory prediction using a driving risk map-integrated deep learning method for surrounding vehicles on highways,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.141468Z

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Observation 9c0df652-6061-49c8-8511-f7bd327e21e1 · outbound

This paper cites A lidar-openstreetmap matching method for vehicle global position initialization based on boundary directional feature extraction,.

Dream to Drive with Predictive Individual World Model A lidar-openstreetmap matching method for vehicle global position initialization based on boundary directional feature extraction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.121702Z

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Observation 79d57528-5f0f-465a-8b3e-94829c407adf · outbound

This paper cites Security-based resilient triggered output feedback lane keeping control for human–machine cooperative steering intelligent heavy truck under denial-of-service attacks,.

Dream to Drive with Predictive Individual World Model Security-based resilient triggered output feedback lane keeping control for human–machine cooperative steering intelligent heavy truck under denial-of-service attacks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.101647Z

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

Observation ff3d9d8a-da24-43de-96c9-5e187a837b21 · outbound

This paper cites Human-like decision making and motion control for smooth and natural car following,.

Dream to Drive with Predictive Individual World Model Human-like decision making and motion control for smooth and natural car following,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.084953Z

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Observation 84b12d6d-a8bd-4b20-875d-229ea2b5e1bc · outbound

This paper cites Human-like control for automated vehicles and avoiding “vehicle face-off.

Dream to Drive with Predictive Individual World Model Human-like control for automated vehicles and avoiding “vehicle face-off

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.068292Z

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 f674d3b9-ad22-4988-960e-bd95b58a4869 · outbound

This paper cites A reasoning framework for autonomous urban driving,.

Dream to Drive with Predictive Individual World Model A reasoning framework for autonomous urban driving,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.051855Z

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

Observation a089fe79-b9ee-4f31-86d3-2428e566aad4 · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.

Dream to Drive with Predictive Individual World Model A survey of motion planning and control techniques for self-driving urban vehicles,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.035132Z

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Observation 9b00d4b4-a617-462b-bf43-d4b39f2690e7 · outbound

This paper cites A perception-driven autonomous urban vehicle,.

Dream to Drive with Predictive Individual World Model A perception-driven autonomous urban vehicle,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.019626Z

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

Observation 0071296e-9eb1-4dd5-856e-dd52bf9369a0 · outbound

This paper cites Hierarchical model-based imitation learning for planning in autonomous driving,.

Dream to Drive with Predictive Individual World Model Hierarchical model-based imitation learning for planning in autonomous driving,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.004696Z

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Observation 021dcf7d-6ccb-4557-b371-d6cc256576cb · outbound

This paper cites Waymax: An accelerated, data-driven simulator for large-scale au- tonomous driving research,.

Dream to Drive with Predictive Individual World Model Waymax: An accelerated, data-driven simulator for large-scale au- tonomous driving research,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.989778Z

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 2209159d-7aa2-486f-a28d-78f76e985c08 · outbound

This paper cites Learning to drive by imi- tation: An overview of deep behavior cloning methods,.

Dream to Drive with Predictive Individual World Model Learning to drive by imi- tation: An overview of deep behavior cloning methods,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.973812Z

Source-reported events for the cited work

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Observation 40443ded-ad1d-4e60-b157-cbfaab7584a8 · outbound

This paper cites Urban driving with conditional imitation learning,.

Dream to Drive with Predictive Individual World Model Urban driving with conditional imitation learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.957278Z

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 0534ec90-3540-42f7-b308-4010c9847786 · outbound

This paper cites Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst,.

Dream to Drive with Predictive Individual World Model Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.940582Z

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 5d5fa233-7e6d-4f12-a12a-b45d2d716ff9 · outbound

This paper cites an unresolved cited work.

Dream to Drive with Predictive Individual World Model Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T11:08:54.924411Z

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 9e176bb8-24e5-4cf3-a8f2-0c5319830b42 · outbound

This paper cites Multi-task safe reinforcement learning for navigating intersections in dense traffic,.

Dream to Drive with Predictive Individual World Model Multi-task safe reinforcement learning for navigating intersections in dense traffic,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.907653Z

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 57ef2326-38a1-4187-83b8-9276717814c3 · outbound

This paper cites Deep reinforcement learning based game-theoretic decision-making for au- tonomous vehicles,.

Dream to Drive with Predictive Individual World Model Deep reinforcement learning based game-theoretic decision-making for au- tonomous vehicles,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.890636Z

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 381d3980-a721-426d-9e62-cc8bb9c870d9 · outbound

This paper cites Highway lane change decision-making via attention-based deep rein- forcement learning,.

Dream to Drive with Predictive Individual World Model Highway lane change decision-making via attention-based deep rein- forcement learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.874735Z

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 42231ca2-c1c1-45d5-8cb0-567d5e14ab15 · outbound

This paper cites Interaction-aware decision-making for automated vehi- cles using social value orientation,.

Dream to Drive with Predictive Individual World Model Interaction-aware decision-making for automated vehi- cles using social value orientation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.857516Z

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 212fcc5a-d36c-427d-b896-5914c0626936 · outbound

This paper cites Deep reinforcement learning-based automatic exploration for navigation in unknown environment,.

Dream to Drive with Predictive Individual World Model Deep reinforcement learning-based automatic exploration for navigation in unknown environment,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.841497Z

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 ac859530-d2df-4724-a2ea-c018395f20db · outbound

This paper cites Recurrent world models fa- cilitate policy evolution,.

Dream to Drive with Predictive Individual World Model Recurrent world models fa- cilitate policy evolution,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.825618Z

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 722c0b03-a0d1-43f0-9910-5e67f6776fc7 · outbound

This paper cites Model-Based Reinforcement Learning for Atari.

Dream to Drive with Predictive Individual World Model Model-Based Reinforcement Learning for Atari

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:52.895487Z

Source-reported events for the cited work

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Observation e8c71050-1512-4ff9-9013-8b092d7a4b2a · outbound

This paper cites Learning latent dynamics for planning from pixels,.

Dream to Drive with Predictive Individual World Model Learning latent dynamics for planning from pixels,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:52.902119Z

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Observation 77974098-c0e7-489a-984f-5a26d4985afc · outbound

This paper cites Dream to control: Learning behaviors by latent imagination,.

Dream to Drive with Predictive Individual World Model Dream to control: Learning behaviors by latent imagination,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.798287Z

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 99110053-83c6-491e-830a-fd17895a3644 · outbound

This paper cites Mas- tering atari with discrete world models,.

Dream to Drive with Predictive Individual World Model Mas- tering atari with discrete world models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.782014Z

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 6a88f810-2dbe-4b75-ad31-6795d987ed5a · outbound

This paper cites Mastering Diverse Domains through World Models.

Dream to Drive with Predictive Individual World Model Mastering Diverse Domains through World Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:52.922298Z

Source-reported events for the cited work

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Observation 1264bd16-3724-4d13-b014-2bbc62dc337c · outbound

This paper cites Steadily Learn to Drive with Virtual Memory.

Dream to Drive with Predictive Individual World Model Steadily Learn to Drive with Virtual Memory

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:08:53.905332Z

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 d6478cde-1b20-493e-aa77-49a23c81d9d3 · outbound

This paper cites Enhance sample efficiency and robustness of end-to-end urban autonomous driving via semantic masked world model,.

Dream to Drive with Predictive Individual World Model Enhance sample efficiency and robustness of end-to-end urban autonomous driving via semantic masked world model,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.766781Z

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 e6313787-c239-40be-bd22-3689f99ba7c4 · outbound

This paper cites Latent imagination facilitates zero-shot transfer in autonomous racing,.

Dream to Drive with Predictive Individual World Model Latent imagination facilitates zero-shot transfer in autonomous racing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.749303Z

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 2523938f-d469-4dc8-b063-81c51b7bfe34 · outbound

This paper cites Iso-dream: Isolating and leveraging noncontrollable visual dynam- ics in world models,.

Dream to Drive with Predictive Individual World Model Iso-dream: Isolating and leveraging noncontrollable visual dynam- ics in world models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.733289Z

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 866a7dd5-33b0-4814-b1b1-e9b1109bd73d · outbound

This paper cites Deep Reinforcement Learning framework for Autonomous Driving.

Dream to Drive with Predictive Individual World Model Deep Reinforcement Learning framework for Autonomous Driving

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:52.959148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba7c44c-4e79-4cb4-b214-da0c8b20ee03 · outbound

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

Dream to Drive with Predictive Individual World Model Human-level control through deep reinforcement learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.715830Z

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 8f5dee31-e315-4aee-9f1c-ac862ed69c46 · outbound

This paper cites Deep merging: Vehicle merging controller based on deep reinforcement learning with embedding network,.

Dream to Drive with Predictive Individual World Model Deep merging: Vehicle merging controller based on deep reinforcement learning with embedding network,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.701286Z

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 544d50ea-d6b6-408b-9e8f-58a145f8c696 · outbound

This paper cites Outracing champion gran tur- ismo drivers with deep reinforcement learning,.

Dream to Drive with Predictive Individual World Model Outracing champion gran tur- ismo drivers with deep reinforcement learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.686190Z

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 e9ee57d0-850a-483e-8f6e-c503e7a4e910 · outbound

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

Dream to Drive with Predictive Individual World Model Soft actor-critic: Off-policy maximum entropy deep reinforce- ment learning with a stochastic actor,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.670791Z

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 7eb8f439-b941-49b1-a10c-28b22bd3b3e5 · outbound

This paper cites Mastering arterial traffic signal control with multi-agent attention-based soft actor-critic model,.

Dream to Drive with Predictive Individual World Model Mastering arterial traffic signal control with multi-agent attention-based soft actor-critic model,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.655864Z

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 fb44a5b6-83a3-4e6b-861d-21ad27d0b37e · outbound

This paper cites A bi-level network-wide cooperative driving approach including deep reinforcement learning-based routing,.

Dream to Drive with Predictive Individual World Model A bi-level network-wide cooperative driving approach including deep reinforcement learning-based routing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.640473Z

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 38d5f06c-e664-4bac-b676-d6ec59ea4dda · outbound

This paper cites Trajgen: Generating realistic and diverse trajectories with reactive and feasible agent behaviors for autonomous driving,.

Dream to Drive with Predictive Individual World Model Trajgen: Generating realistic and diverse trajectories with reactive and feasible agent behaviors for autonomous driving,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.624503Z

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 2b34ea6f-852e-4a26-aa7a-451ed62e9e52 · outbound

This paper cites Efficient deep rein- forcement learning with imitative expert priors for au- tonomous driving,.

Dream to Drive with Predictive Individual World Model Efficient deep rein- forcement learning with imitative expert priors for au- tonomous driving,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.609079Z

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 824376c8-860f-410d-90a0-4e9149090139 · outbound

This paper cites Interpretable end- to-end urban autonomous driving with latent deep re- inforcement learning,.

Dream to Drive with Predictive Individual World Model Interpretable end- to-end urban autonomous driving with latent deep re- inforcement learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.594000Z

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 b31efdb4-d42d-4a31-a367-0bf18a306983 · outbound

This paper cites Increasing the efficiency of policy learning for autonomous vehicles by multi-task representation learning,.

Dream to Drive with Predictive Individual World Model Increasing the efficiency of policy learning for autonomous vehicles by multi-task representation learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.578092Z

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 dadc493f-923a-4bdb-80fc-6c1fd8809ca0 · outbound

This paper cites A survey on model-based reinforcement learning,.

Dream to Drive with Predictive Individual World Model A survey on model-based reinforcement learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.561878Z

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 51e2bb96-8009-467e-b4c8-dc914d5d631b · outbound

This paper cites Uncertainty-aware model- based reinforcement learning: Methodology and appli- cation in autonomous driving,.

Dream to Drive with Predictive Individual World Model Uncertainty-aware model- based reinforcement learning: Methodology and appli- cation in autonomous driving,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.546714Z

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 8bc01fe9-826c-4b71-ba81-02e27d8421ba · outbound

This paper cites Dynamic-horizon model-based value estimation with latent imagination,.

Dream to Drive with Predictive Individual World Model Dynamic-horizon model-based value estimation with latent imagination,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.530961Z

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 184e844f-68b7-42ae-bc89-d2a3cc2ad08a · outbound

This paper cites Model- based imitation learning for urban driving,.

Dream to Drive with Predictive Individual World Model Model- based imitation learning for urban driving,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.516199Z

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 859d261a-1b5f-483f-8c89-585d8eb2a3ef · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

Dream to Drive with Predictive Individual World Model DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.058569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e35fbf-5d3f-45fa-aebe-36c7be2a6f21 · outbound

This paper cites M2i: From factored marginal trajectory prediction to interactive prediction,.

Dream to Drive with Predictive Individual World Model M2i: From factored marginal trajectory prediction to interactive prediction,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.065247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f849ec-d9df-44de-8873-2b4a71882c67 · outbound

This paper cites Densetnt: End-to-end tra- jectory prediction from dense goal sets,.

Dream to Drive with Predictive Individual World Model Densetnt: End-to-end tra- jectory prediction from dense goal sets,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.071143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d66a76a1-eb6d-4a54-9943-d52c1167ba42 · outbound

This paper cites Planning-inspired hierarchical trajectory prediction via lateral-longitudinal decompo- sition for autonomous driving,.

Dream to Drive with Predictive Individual World Model Planning-inspired hierarchical trajectory prediction via lateral-longitudinal decompo- sition for autonomous driving,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.480002Z

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 82bb7fa8-de97-4759-a621-91ee203e9024 · outbound

This paper cites Social interaction-aware dynamical models and decision-making for autonomous vehicles,.

Dream to Drive with Predictive Individual World Model Social interaction-aware dynamical models and decision-making for autonomous vehicles,

Reference 49

Resolution: verified exact; raw_fallback, observed 2026-08-10T11:08:53.786463Z

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 5cc831f6-7102-4b34-ba40-eb6a49374d9e · outbound

This paper cites The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review.

Dream to Drive with Predictive Individual World Model The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.090627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7420b3-de7d-40ca-9c45-a454c5302316 · outbound

This paper cites Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving,.

Dream to Drive with Predictive Individual World Model Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.461797Z

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 5365eaf2-e235-4c62-9149-03cae689c603 · outbound

This paper cites Solution concepts in hierar- chical games under bounded rationality with applications to autonomous driving,.

Dream to Drive with Predictive Individual World Model Solution concepts in hierar- chical games under bounded rationality with applications to autonomous driving,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.442943Z

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 ba6b54fe-904f-418b-8920-2ab6f6b4bcdb · outbound

This paper cites Generalized dynamic cognitive hierarchy models for strategic driving behavior,.

Dream to Drive with Predictive Individual World Model Generalized dynamic cognitive hierarchy models for strategic driving behavior,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.425592Z

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 206e0f94-4bbe-412b-9098-17365ae5c9de · outbound

This paper cites Gameformer: Game- theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driv- ing,.

Dream to Drive with Predictive Individual World Model Gameformer: Game- theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driv- ing,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.380788Z

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 d4f8c79d-e5d2-4be2-90d1-74fc674a6ff5 · outbound

This paper cites Gpt- driver: Learning to drive with gpt,.

Dream to Drive with Predictive Individual World Model Gpt- driver: Learning to drive with gpt,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.345418Z

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 36c695f4-734b-4ef1-a39c-4b80b0095c1d · outbound

This paper cites Dilu: A knowledge-driven approach to autonomous driving with large language models,.

Dream to Drive with Predictive Individual World Model Dilu: A knowledge-driven approach to autonomous driving with large language models,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.303225Z

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 9ccf57a7-fcdc-44e6-9720-48a4a4805725 · outbound

This paper cites LMDrive: Closed-Loop End-to-End Driving with Large Language Models.

Dream to Drive with Predictive Individual World Model LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.141532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cdac38-ca44-470e-b29c-c936be57668c · outbound

This paper cites Social attention for au- tonomous decision-making in dense traffic,.

Dream to Drive with Predictive Individual World Model Social attention for au- tonomous decision-making in dense traffic,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.268783Z

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 b5f2e802-95ab-46ec-9713-ad3cd96a25db · outbound

This paper cites A dis- tributional perspective on reinforcement learning,.

Dream to Drive with Predictive Individual World Model A dis- tributional perspective on reinforcement learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.211557Z

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 6a67bee0-c7bd-46e7-82c8-94084ae0ec84 · outbound

This paper cites an unresolved cited work.

Dream to Drive with Predictive Individual World Model Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.164409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f467e3cf-b234-48bc-aafa-46499a14cd69 · outbound

This paper cites Simple statistical gradient-following al- gorithms for connectionist reinforcement learning,.

Dream to Drive with Predictive Individual World Model Simple statistical gradient-following al- gorithms for connectionist reinforcement learning,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.173885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f6226d-b70b-49ca-8b9e-02da77d1ca40 · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model,.

Dream to Drive with Predictive Individual World Model Mastering atari, go, chess and shogi by planning with a learned model,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.135723Z

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 9901a2d0-b7fd-469d-bf00-fdffa56d108e · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

Dream to Drive with Predictive Individual World Model INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.188509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989149dd-370e-404b-9898-232fd4fbed9f · outbound

This paper cites Contingencies from observations: Tractable contingency planning with learned behavior models,.

Dream to Drive with Predictive Individual World Model Contingencies from observations: Tractable contingency planning with learned behavior models,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.078428Z

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 55220db8-0b69-448a-904d-bdaa32a0527c · outbound

This paper cites Vectornet: Encoding hd maps and agent dy- namics from vectorized representation,.

Dream to Drive with Predictive Individual World Model Vectornet: Encoding hd maps and agent dy- namics from vectorized representation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:54.031915Z

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 c825232a-acef-4e9f-91c4-816b346d779b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Dream to Drive with Predictive Individual World Model Proximal Policy Optimization Algorithms

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.274666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6202d432-773c-4208-affb-58f1ba6d27dc · outbound

This paper cites Soft Actor-Critic for Discrete Action Settings.

Dream to Drive with Predictive Individual World Model Soft Actor-Critic for Discrete Action Settings

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:53.322150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908cae5f-2455-47a9-975b-24601d0032b2 · outbound

This paper cites Challenges and opportunities in offline reinforcement learning from visual observations,.

Dream to Drive with Predictive Individual World Model Challenges and opportunities in offline reinforcement learning from visual observations,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:53.986099Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers