conftrace_

world model

189 papers

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Also known as

WM

Co-occurring keywords

model-based reinforcement learning (415) reinforcement learning (4352) autonomous driving (1142) self-supervised learning (3777) representation learning (6206) large language model (13587) video generation (707) video prediction (140) sample efficiency (472) zero-shot learning (3650)

Papers

MultiModal Action Conditioned Video Simulation ICCV 2025
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NIPS 2024
Predicting Future Actions of Reinforcement Learning Agents NIPS 2024
Diffusion for World Modeling: Visual Details Matter in Atari NIPS 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments NIPS 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NIPS 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NIPS 2024
Learning World Models for Unconstrained Goal Navigation NIPS 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models NIPS 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment NIPS 2024
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction NIPS 2024
World Models for General Surgical Grasping RSS 2024
Multi-world Model in Continual Reinforcement Learning AAAI 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding CVPR 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model NIPS 2024
PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation NIPS 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability NIPS 2024
Efficient imitation learning with conservative world models L4DC 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge IJCAI 2024
CheckersGPT: Learning World Models through Language Modeling ACL 2024
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving CVPR 2024
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving CVPR 2024
UnO: Unsupervised Occupancy Fields for Perception and Forecasting CVPR 2024