OpenAI Gym is a popular open-source toolkit for developing and benchmarking reinforcement learning (RL) algorithms. It provides a diverse suite of environments for training agents and testing their performance. When combined with powerful libraries like NumPy and Pandas, developers can efficiently perform numerical computations and analyze RL data.

Features of OpenAI-Gym with NumPy & Pandas:

• Supports a wide range of RL environments including classic control, Box2D, and Atari games.
• Seamlessly integrates with NumPy for fast numerical operations.
• Uses Pandas for structured data manipulation and performance tracking.
• Lightweight, extensible, and compatible with major ML frameworks like TensorFlow and PyTorch.

To check the versions installed, run:

python -c "import gym, numpy, pandas; print('Gym:', gym.__version__); print('NumPy:', numpy.__version__); print('Pandas:', pandas.__version__)"
  

Disclaimer: OpenAI Gym, NumPy, and Pandas are open-source projects maintained by their respective communities. Users are encouraged to refer to official documentation for usage and contribute to ongoing development.