CoopIHC
Tutorial
Quick Start
More Complex Example
Modularity
Using Reinforcement Learning
Interfacing CoopIHC with a real user
Assistants that simulate users
User Guide
The Interaction Model
Space
StateElement
State
Tasks
Agents
Policies
The Observation Engines
The Inference Engines
Bundles
User Modeling Facilitation
Wrappers
Task and Agent Repository
See also
Home page
API reference
coopihc.agents
coopihc.base
coopihc.bundle
coopihc.helpers
coopihc.inference
coopihc.interactiontask
coopihc.observation
coopihc.policy
coopihc.policy.BIGDiscretePolicy
coopihc.policy.BasePolicy
coopihc.policy.DualPolicy
coopihc.policy.ELLDiscretePolicy
coopihc.policy.ExamplePolicy
coopihc.policy.LinearFeedback
coopihc.policy.RLPolicy
coopihc.policy.RLPolicy.RLPolicy
coopihc.policy.WrapAsPolicy
Terminology
CoopIHC
»
coopihc
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coopihc.policy
»
coopihc.policy.RLPolicy
View page source
coopihc.policy.RLPolicy
Classes
RLPolicy
Wrap a trained net as a CoopIHC policy.