DreamerV3-Robotics
DreamerV3 tuned specifically for robotic control tasks
This is DreamerV3 adapted specifically for robotics tasks — with extra tuning for the kinds of movements and physics robots deal with. If you want to train a robot policy from scratch in simulation, this is a practical starting point.
Community-maintained and less polished than the original DreamerV3. For researchers already familiar with model-based RL who want robotics-specific benchmarks.
PyTorch implementation of DreamerV3 with robot-specific optimizations for manipulation and locomotion benchmarks.
Robotic manipulation and locomotion tasks (MuJoCo, Isaac)
Pre-train locomotion policies for legged robots
Train manipulation policies with DreamerV3 in Isaac Gym
Lab-grade infrastructure needed
RELATED DISCUSSIONS
Community →Seeded and planned prompts — not live forum activity yet.
- Community signalIntermediate / AdvancedHow should EAR track open robotics models?
Meta-discussion on ontology, benchmarks, and graph links for open-weight VLAs and manipulation models.
- Community signalIntermediate / AdvancedOpenVLA in the field — what breaks first?
Open Models room prompt linked to openvla-7b — inference, fine-tuning, and sim-to-real gaps. Seeded prompt only.