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  • Infinite Mario RL

    Infinite Mario RL

    This environment is derived from the Infinite Mario domain from RLCompetition2009 (based on RL-Glue) and uses SML to connect to Soar.

    Agents play a variant of Super Mario, a complete side-scrolling video game with destructible blocks, enemies, fireballs, coins, chasms, platforms, etc. The state space is complicated, but factored in an object-oriented way, which captures many aspects of the real world. Challenges include:
    • Path planning: How can Mario navigate around simple obstacles,
    ...
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  • Episodic Memory Size Tool

    Episodic Memory Size Tool

    This tool is a command-line python script to determine the size of episodes in episodic memory.

    Download LinksDocumentation
    • None.
    Developer
    • Justin Li
    Soar Versions
    • Any with episodic memory; version must match the one that produced the DB.
    Language
    • Python
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  • Episodic Memory Tutorial Agent

    Episodic Memory Tutorial Agent

    A very simple agent that shows how structures are stored in episodic memory and then retrieved.

    Soar capabilities
    • Episodic memory
    Download LinksExternal Environment
    • None.
    Default Rules
    • None.
    Associated Publications
    • Soar Episodic Memory Tutorial
    Developer
    • John Laird
    Soar Versions
    • Soar 9
    Project Type
    • Plain text
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  • Knowledge Base Agent

    Knowledge Base Agent

    This agent has a knowledge base of animal species in working memory from the web. For the first few decisions, it "observes" each entry in the kb (i.e. there is a WME that refers to each of the kb entries, once per decision), storing each to episodic memory. The agent also has a set of unit tests in working memory. Each test is composed of "steps," where a step has properties like "type" (e.g. query vs. retrieve), the "expected" outcome, the "command"...
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