Cover Image

Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schofield, Hunter, Mirkhani, Hamidreza, Elmahgiubi, Mohammed, Rezaee, Kasra, Shan, Jinjun
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Simulation: Benchmarking World Models for Planning and Causality in Autonomous Driving
by: Schofield, Hunter, et al.
Published: (2025)

Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning
by: Arasteh, Fazel, et al.
Published: (2024)

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories
by: Mobarakeh, Niloufar Saeidi, et al.
Published: (2024)

CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving
by: Mirkhani, Hamidreza, et al.
Published: (2025)

Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories
by: Mirkhani, Hamidreza, et al.
Published: (2024)

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning
by: Ahmadi, Ehsan, et al.
Published: (2026)

Nightmare Dreamer: Dreaming About Unsafe States And Planning Ahead
by: Oseni, Oluwatosin, et al.
Published: (2026)

Confidence Aware Inverse Constrained Reinforcement Learning
by: Subramanian, Sriram Ganapathi, et al.
Published: (2024)

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting
by: Jiang, Eric Hanchen, et al.
Published: (2024)

SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates
by: Esmaeili, Babak, et al.
Published: (2025)

Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition
by: Kasaei, Hamidreza, et al.
Published: (2022)

Fiducial Tag Localization on a 3D LiDAR Prior Map
by: Liu, Yibo, et al.
Published: (2022)

EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
by: Wang, Yuping, et al.
Published: (2023)

Scaling Motion Forecasting Models with Ensemble Distillation
by: Ettinger, Scott, et al.
Published: (2024)

Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds
by: Xu, Shaojun, et al.
Published: (2026)

PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies
by: Byrd, Morgan, et al.
Published: (2025)

Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
by: Wang, Xian, et al.
Published: (2024)

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2026)

Physics-Informed Neural Controlled Differential Equations for Scalable Long Horizon Multi-Agent Motion Forecasting
by: Sural, Shounak, et al.
Published: (2025)

Learning Dual-Arm Coordination for Grasping Large Flat Objects
by: Wang, Yongliang, et al.
Published: (2025)

Data-Driven Motion Planning for Uncertain Nonlinear Systems
by: Esmaeili, Babak, et al.
Published: (2025)

Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
by: Ahmadi, Ehsan, et al.
Published: (2024)

Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction
by: Wang, Yuping, et al.
Published: (2023)

R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation
by: Morihira, Naoki, et al.
Published: (2026)

Motion Forecasting via Model-Based Risk Minimization
by: Distelzweig, Aron, et al.
Published: (2024)

Scaling Laws of Motion Forecasting and Planning -- Technical Report
by: Baniodeh, Mustafa, et al.
Published: (2025)

Multi-feature Compensatory Motion Analysis for Reaching Motions Over a Discretely Sampled Workspace
by: Yang, Qihan, et al.
Published: (2024)

Reinforcement Learning Enhancement Using Vector Semantic Representation and Symbolic Reasoning for Human-Centered Autonomous Emergency Braking
by: Asodia, Vinal, et al.
Published: (2026)

DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion
by: Fan, Yahao, et al.
Published: (2025)

Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems
by: Hunter, Devin, et al.
Published: (2025)

Force-Modulated Visual Policy for Robot-Assisted Dressing with Arm Motions
by: Hao, Alexis Yihong, et al.
Published: (2025)

Visual Forecasting as a Mid-level Representation for Avoidance
by: Yang, Hsuan-Kung, et al.
Published: (2023)

Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving
by: Yan, Shengchao, et al.
Published: (2024)

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot
by: Lorimer, Philip, et al.
Published: (2025)

Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
by: Azam, Shoaib, et al.
Published: (2022)

Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding
by: Haritz, Pierre, et al.
Published: (2024)

Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
by: Spieler, Jonathan, et al.
Published: (2026)

Language-Conditioned Representations and Mixture-of-Experts Policy for Robust Multi-Task Robotic Manipulation
by: Zhang, Xiucheng, et al.
Published: (2025)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)

Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
by: Liu, Guangyi, et al.
Published: (2025)