1 Repo
Awesome GitHub RepositoriesSimulator-Agent Model Integrations
Low-level memory embedding of action models to facilitate tensor-level interactions between agents and simulators.
Distinct from AI Model Integrations: Focuses on the direct memory/tensor integration for simulator performance, rather than general model-to-application connectivity.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Simulator-Agent Model Integrations. Refine with filters or upvote what's useful.
Awesome Simulator-Agent Model Integrations GitHub Repositories
Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
- rlinf/rlinf
RLinf/RLinf
2,502Auf GitHub ansehenRLinf is a distributed reinforcement learning orchestrator and embodied AI training framework. It provides the infrastructure to train vision-language-action models and robotic policies using a combination of reinforcement learning and supervised fine-tuning. The system is designed for scaling workloads across GPU clusters, managing the placement of actors, rollout workers, and environment components. It features a specialized robotics data collection pipeline for gathering teleoperated demonstrations and simulation trajectories into standardized replay buffers, alongside a hardware interface
Embeds action models into memory to enable high-performance tensor-level interactions between the agent and the simulator.
Pythonagentic-aiembodied-aireinforcement-learning
