TensorHouse is a scalable reinforcement learning (RL) platform that focuses on high-throughput experience generation and distributed training. It is designed to efficiently train agents across multiple environments and compute resources. TensorHouse enables flexible experiment management, making it suitable for large-scale RL experiments in both research and applied settings.

Features

  • Supports distributed and parallel RL training across multiple nodes
  • High-throughput experience collection from multiple environments
  • Modular and extensible framework for custom algorithm integration
  • Efficient resource management and task orchestration
  • Includes tools for tracking experiments and analyzing results
  • Compatible with existing RL libraries and custom policies

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Frameworks, Python Reinforcement Learning Libraries, Python Reinforcement Learning Algorithms

Registered

2025-03-13