Announcement

Collapse
No announcement yet.

Search Result

Collapse
8 results in 0.0034 seconds.

You can also choose from the popular tags.


  • Blocks-World (Reinforcement Learning)

    Blocks-World (Reinforcement Learning)

    This agent contains a version of blocks-world that uses reinforcement learning for move-block, which moves a block to a destination.

    Soar capabilities
    • Reinforcement Learning
    Download LinksExternal Environment
    • None.
    Default Rules
    • None.
    Associated PublicationsDeveloper
    • John Laird
    Soar Versions
    • Soar 8,9
    Project Type
    • VisualSoar
    See more | Go to post

  • Blocks-World (Hierarchical Look-Ahead)

    Blocks-World (Hierarchical Look-Ahead)

    This project augments the Blocks-World Hierarchical Agent with look-ahead state evaluation. The description of the original agent applies to this one. The main difference is that look-ahead is performed in the middle of the three problem spaces that it uses.

    Soar capabilities
    • Hierarchical task composition via subgoaling
    • Look-ahead subgoaling
    • Internally simulates external environment including an i/o link
    Download LinksExternal Env...
    See more | Go to post

  • Blocks-World (Hierarchical)

    Blocks-World (Hierarchical)

    This project contains a version of blocks world that is formulated for hierarchical task decomposition. It involves three levels of problem spaces. There is sufficient evaluation knowledge so that there is no search/uncertainty at every level. The top level has a single operator: move-block, which moves a block (moving-block) to a destination. The destination can be the top of another block or the table.

    The next level consists of two operators: pick-up and put-down and they arise in...
    See more | Go to post

  • Blocks-World (Subgoaling with RL)

    Blocks-World (Subgoaling with RL)

    agent incorporates both operator subgoaling/means ends analysis with reinforcement learning. All search control knowledge (operator evaluation rules) are removed from blocks-world-operator-subgoaling and instead there are RL rules supplemented with rules to compute reward, both in the top state and the substate. Implemented for four blocks.

    Soar capabilities
    • Subgoaling with means-ends analysis
    • Reinforcement learning
    Download LinksExternal En...
    See more | Go to post

  • Blocks-World (Subgoaling)

    Blocks-World (Subgoaling)

    This agent is a modified version of the simple blocks-world agent that uses means-ends analysis and operator subgoaling (first used in General Problem Solver (GPS)).

    Means-ends analysis involves proposing operators that can achieve part of the goal. Thus, some operators will be proposed even if they do not apply to the current state. If an operator is selected that can not apply, an operator no-change impasse arises. In that substate, the goal is to achieve a state in which the impassed...
    See more | Go to post

  • Blocks-World (Look-Ahead with RL)

    Blocks-World (Look-Ahead with RL)

    This agent contains a version of blocks-world that involves one level of problem spaces and look-ahead but with two important extensions. It demonstrates how RL-rules can be learned by chunking and then updated in the future. The advantage over simple lookahead is that it doesn't lock on to the one path found during look-ahead after chunking. It will still do some exploration.

    Soar capabilities
    • Reinforcement Learning
    • Chunking
    • Look-ahead Subgoaling
    Download Links...
    See more | Go to post

  • Blocks-World (Look-Ahead)

    Blocks-World (Look-Ahead)

    This agent contains a version of blocks-world that involves one level of problem spaces and look-ahead. It is based on the simple blocks-world agent.

    Soar capabilities
    • Look-ahead subgoaling
    Download LinksExternal Environment
    • None.
    Default Rules
    • simple.soar
    • selection.soar
    Associated PublicationsDeveloper
    • John Laird
    Soar Versions
    • Soar 8,9
    Project Type
    • VisualSoar
    See more | Go to post

  • Blocks-World (Simple)

    Blocks-World (Simple)

    A very simple instance of an internally-simulated blocks world with three blocks. Uses two operator evaluation rules to eliminate all search.

    Soar capabilities
    • Basic PSCM functions: State Elaboration, Operator Proposal, Operator Evaluation, Internal Operator Application
    Download LinksExternal Environment
    • None.
    Default Rules
    • None.
    Associated PublicationsDeveloper
    • John Laird
    Soar Versions
    • Soar 8,9
    Project...
    See more | Go to post
Working...
X