2 مستودعات
Awesome GitHub RepositoriesGame-Based
Simulation environments for training agents in classic games like tic-tac-toe.
Distinct from Reinforcement Learning Environments: Focuses on game-based RL environments, distinct from general RL environments.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Game-Based. Refine with filters or upvote what's useful.
Awesome Game-Based GitHub Repositories
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- shangtongzhang/reinforcement-learning-an-introduction
ShangtongZhang/reinforcement-learning-an-introduction
14,569عرض على GitHubThis project is a Python-based educational framework designed to simulate reinforcement learning algorithms and environments. It serves as a platform for reproducing classic textbook examples, allowing users to study agent behavior, policy improvement, and the fundamental mechanics of decision-making in controlled settings. The library provides implementations for core reinforcement learning concepts, including temporal difference learning, Monte Carlo episode sampling, and tabular value function approximation. It enables the analysis of specific algorithmic behaviors, such as identifying and
Executes reinforcement learning agents against human players or other agents in grid-based games.
Pythonartificial-intelligencereinforcement-learning - pwhiddy/pokemonredexperiments
PWhiddy/PokemonRedExperiments
7,774عرض على GitHubThis project is a game AI training framework designed to develop and monitor reinforcement learning agents within a legacy game environment. It functions as a training and monitoring system that optimizes autonomous agents to complete game objectives through exploration and reward-based learning. The framework includes tools for game memory mapping and real-time trajectory visualization. These capabilities translate raw game memory addresses into visual coordinates, allowing agent movements and session data to be streamed to a map for the analysis of navigation patterns and area exploration.
Implements an autonomous agent trained to complete game objectives via reward optimization in a legacy game environment.
Jupyter Notebook
