Are OpenCog's policies distinct structures from its plans or are they the same
structure? Also, are the plans single action, as in Reinforcement Learning, or
multi-action as in AI Planning?
Kindly advise.
~PM
Date: Mon, 16 Mar 2015 10:08:38 +0800
Subject: Re: [agi] Plans vs. Policies
From: [email protected]
To: [email protected]
OpenCog uses policies to drive the creation of dynamic plans ;)
On Mon, Mar 16, 2015 at 10:07 AM, Piaget Modeler via AGI <[email protected]>
wrote:
Ben,
What does OpenCog use? Plans or policies? Why?
~PM
Date: Mon, 16 Mar 2015 10:01:31 +0800
Subject: Re: [agi] Plans vs. Policies
From: [email protected]
To: [email protected]
A traditional plan in the AI planning literature sense does not depend on
future observations, but there is now a big literature on dynamic/adaptive
planning algorithms as well...
ben
From: [email protected]
To: [email protected]
Subject: [agi] Plans vs. Policies
Date: Sun, 15 Mar 2015 16:22:46 -0700
Reinforcement Learning uses "policies" to select actions while most work in AI
Planning emphasizes the construction and representation of a "plan" which
consists of a sequence of actions (or a hierarchyof composite and primitive
actions). Kindly compare, contrast, evaluate trade-offs, and recommend the
plans or policies approach
Your rationale is appreciated.
~PM
--
Ben Goertzel, PhD
http://goertzel.org
"The reasonable man adapts himself to the world:
the unreasonable one persists in trying to adapt the world to himself.
Therefore all progress depends on the unreasonable man." -- George Bernard Shaw
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--
Ben Goertzel, PhD
http://goertzel.org
"The reasonable man adapts himself to the world:
the unreasonable one persists in trying to adapt the world to himself.
Therefore all progress depends on the unreasonable man." -- George Bernard Shaw
AGI | Archives
| Modify
Your Subscription
AGI | Archives
| Modify
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