The player will have a first-person perspective, this will increase the difficulty of escaping from the maze. The player will compete with a AI player. Once there is a party reaching the destination, the whole game ends. The one who reaches the destination win the whole game. To give player more entertainment and make one turn of game has reasonable time period, we designed 15 rounds in total per turn.
The player has to continuously finish 15 rounds reach the destination 15 times before they win the game. Notice : If you find that the AI does not move in your game, you have to follow the Installation guide and build the Game in your own. Important Notice : When you want to use different model. You have to change the brain type to external first, then change back to internal.
Otherwise, it will still load the previous model. Click the play button for testing. When the game start, you have to check if the Graph Model is the one you want to use or there is still the previous model. ML-Agent Basic Guide. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
Skip to content. Star 8. MIT License. Branches Tags. Could not load branches. Could not load tags. Latest commit. After this, install the package. Jun 30, Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Warning Some features may not work without JavaScript. Please try enabling it if you encounter problems. Search PyPI Search. Latest version Released: Jun 30, Navigation Project description Release history Download files. Project links Homepage. Maintainers trustycoder Project description Project details Release history Download files Project description gym-maze A simple 2d maze environment for Open AI Gym, where the agent needs to finds its way from the top left corner to the bottom right corner.
Observation space The observation space is the x, y coordinate of the agent. The top left cell is 0, 0. Reward A reward of 1 is given when the agent reaches the goal. End condition The maze is reset when the agent reaches the goal. Project details Project links Homepage.
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