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RynnVLA-002: A Unified Vision-Language-Action and World Model
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.
Official code for EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models
The main features of robbyant/lingbot-va are: Embodied Foundation Models, Embodied World Models.
Projects with overlapping indexed features include: alibaba-damo-academy/worldvla — RynnVLA-002: A Unified Vision-Language-Action and World Model. agibottech/genie-envisioner — Join our WeChat Group. aidanscannell/dcmpc — This repository is the official implementation of DC-MPC, presented in "Discrete Codebook World Models for Continuous… agibottech/ewmbench — Official code for EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models. amap-cvlab/abot-manipulation — ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning. 20robo/raenwm — Paper | Models (Coming Soon).