Pieter Abbeel

13

Papers

668

Total Citations

Papers (13)

Learning Interactive Real-World Simulators

Video Language Planning

World Model on Million-Length Video And Language With Blockwise RingAttention

ElasticTok: Adaptive Tokenization for Image and Video

Prioritized Generative Replay

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction

Learning a Diffusion Model Policy from Rewards via Q-Score Matching

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings

Visual Representation Learning with Stochastic Frame Prediction

Position: Video as the New Language for Real-World Decision Making

Learning to Model the World With Language