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Official code for EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models
This repository is the official implementation of DC-MPC, presented in "Discrete Codebook World Models for Continuous Control" at ICLR 2025. DC-MPC is a model-based reinforcement learning algorithm demonstrating the strengths of learning a discrete latent space with discrete codebook encodings.
Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar, Xingdi (Eric) Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht ICLR 2021
Deep Hierarchical Planning from Pixels
The main features of danijar/director are: Embodied World Models, World Models.
Projects with overlapping indexed features include: agibottech/ewmbench — Official code for EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models. aidanscannell/dcmpc — This repository is the official implementation of DC-MPC, presented in "Discrete Codebook World Models for Continuous… alfworld/alfworld — Aligning Text and Embodied Environments for Interactive Learning Mohit Shridhar, Xingdi (Eric) Yuan, Marc-Alexandre… alibaba-damo-academy/worldvla — RynnVLA-002: A Unified Vision-Language-Action and World Model. anh-nn01/time-aware-world-model — ⏱️ Time-Aware World Model 🌎 🎓 Paper | 📌 Poster | 🌐 Website | 🎬 Videos. 20robo/raenwm — Paper | Models (Coming Soon).
