Various fundamental reinforcement learning algorithms implemented from scratch
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Updated
May 26, 2020 - Python
Various fundamental reinforcement learning algorithms implemented from scratch
Reinforcement Learning agent using **SARSA with Prioritized Sweeping** to solve mazes. 1. **Generate a Maze**: Use the sidebar controls to define the maze size and click the button. 2. **Train the Agent**: 3. **Test & Visualize**: Once trained, run a test episode to see the optimal path found by the agent.
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