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  • MLPro-Int-Gymnasium - Integration between Gymnasium and MLPro

Environments and Boards

  • Reinforcement Learning: Environments
  • Game Theory: Game Boards

Example pool

  • Reinforcement Learning
    • Howto RL-AGENT-001: Run an Agent with Own Policy on Gym Environment
    • Howto RL-AGENT-002: Train an Agent with Own Policy on Gym Environment
    • Howto RL-AGENT-003: Run Multi-Agent with Own Policy on Gym Environment
    • Howto RL-AGENT-004: Train Multi-Agent with Own Policy on Gym Environment
    • Howto RL-AGENT-010: Train a SB3 PPO Agent on the Rubik’s Cube 2x2x2 Environment
    • Howto RL-WP-001: MLPro Environment to Gymnasium Environment
    • Howto RL-WP-002: Gymnasium Environment to MLPro Environment
  • Dynamic Games in Game Theory

API reference

  • Wrapper Root Class
  • Environments
  • Game Boards

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MLPro Documentations
  • Reinforcement Learning
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Reinforcement Learning

  • Howto RL-AGENT-001: Run an Agent with Own Policy on Gym Environment
  • Howto RL-AGENT-002: Train an Agent with Own Policy on Gym Environment
  • Howto RL-AGENT-003: Run Multi-Agent with Own Policy on Gym Environment
  • Howto RL-AGENT-004: Train Multi-Agent with Own Policy on Gym Environment
  • Howto RL-AGENT-010: Train a SB3 PPO Agent on the Rubik’s Cube 2x2x2 Environment
  • Howto RL-WP-001: MLPro Environment to Gymnasium Environment
  • Howto RL-WP-002: Gymnasium Environment to MLPro Environment
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