RLjs currently serves as an interactive playground for learning reinforcement learning.
react agent algorithm q-learning policy-iteration value-iteration rl-algorithms reinfrocement-learning
- Updated
Jan 7, 2019 - JavaScript
RLjs currently serves as an interactive playground for learning reinforcement learning.
A web-based interactive Grid World environment for learning and visualizing reinforcement learning algorithms including policy evaluation, policy improvement, and value iteration. Built with Flask backend implementing RL algorithms and JavaScript frontend for grid visualization.
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