Search Results for author:
Found 4 papers, 3 papers with code
Pixtral 12B
Unlike many open-source models, Pixtral is also a cutting-edge text model for its size, and does not compromise on natural language performance to excel in multimodal tasks.
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Large Language Models (LLMs) have been shown to be capable of performing high-level planning for long-horizon robotics tasks, yet existing methods require access to a pre-defined skill library (e. g. picking, placing, pulling, pushing, navigating).
No RL, No Simulation: Learning to Navigate without Navigating
Most prior methods for learning navigation policies require access to simulation environments, as they need online policy interaction and rely on ground-truth maps for rewards.
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
We introduce Habitat 2. 0 (H2. 0), a simulation platform for training virtual robots in interactive 3D environments and complex physics-enabled scenarios.
