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self-play-rl

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Devanik21 / general-gamer-ai-lite

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A specialized Reinforcement Learning (RL) project focused on multi-task mastery across 10 distinct gaming environments. General-Gamer-AI-Lite implements a lightweight multi-task agent designed to learn shared representations and transfer knowledge between varied game mechanics, from classic arcade challenges to strategic grid worlds.

reinforcement-learning deep-reinforcement-learning game-theory multi-task-learning multi-agent-rl curiosity-driven-exploration ppo-algorithm hierarchical-rl self-play-rl game-environment-simulation
  • Updated Jan 26, 2026
  • Python

Devanik21 / RubIKSolVeR

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AIM (Autonomous Intelligent Model) is a dual-engine Rubik’s Cube intelligence system that unifies classical algorithmic solving with modern reinforcement learning research. It is not just a cube solver— it is a simulation lab, built for experimentation, visualization, optimization, and AI behavior analysis. AIM provides: ⚡ A high-performance sol

reinforcement-learning deep-reinforcement-learning game-theory cognitive-architecture rubiks-cube-solver mcts-algorithm self-play-rl autonomous-intelligent-model ai-behavior-analysis
  • Updated Dec 8, 2025
  • Jupyter Notebook

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