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  • Taxi

    Taxi

    The taxicab problem domain is well known in the area of reinforcement learning. Simply put, a taxicab driver is tasked with the problem of picking up a passenger and delivering him to his destination in as few steps as possible. Typically, the taxi is constrained by a limit on the amount of fuel that can be carried.

    The canonical taxicab problem is a 5x5 gridworld. There are four cells which serve as possible starting locations and possible destinations for the passenger. There is a...
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  • Taxi (Hierarchical Reinforcement Learning)

    Taxi (Hierarchical Reinforcement Learning)

    This agent simulates an omniscient taxi driver that uses reinforcement learning and hierarchical task decomposition to improve its performance over runs.

    Soar capabilities
    • Hierarchical task decomposition
    • Reinforcement learning
    Download Links
    • The agent is included in the Taxi download.
    External EnvironmentDefault Rules
    • None.
    Associated Publications...
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  • Taxi (Reinforcement Learning)

    Taxi (Reinforcement Learning)

    This agent simulates an omniscient taxi driver that uses reinforcement learning to improve its performance over runs.

    Soar capabilities
    • Reinforcement Learning
    Download Links
    • The agent is included in the Taxi download.
    External EnvironmentDefault Rules
    • None.
    Associated PublicationsDevel...
    See more | Go to post
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