Deep Q Learning

TODO

• add pong and snake games
• pull the step and state logc out of the game(s)
• support for AI vs AI
• optimize the model, other archtectures (ongoing)
• port the model to browser. (tfjs?)
• browser to snap
  • save the weights
  • load the weights
  • easy definitoin of actions, state and rewards
• reward clipping
• more games: frogger, catching games, pong, openai games, grid world
• checkout games from qlearning4k

Resources

• Mnih, Volodymyr, et al. "Playing atari with deep reinforcement learning." arXiv preprint arXiv:1312.5602 (2013)
• Different game environemtns form OpenAi's Gym
• Base DQN link
• Base TicTacToe game link
• Base Snake game gist
• Base Connectn game gist
• Base Pong game github repo