Optimistic Simulated Exploration as an Incentive for Real Exploration

Details Optimistic Simulated Exploration as an Incentive for Real Exploration Optimistic Simulated Exploration as an Incentive for Real Exploration

2009-03-17

arxiv.org/abs/0903.2972v3

POSTER 2009

Computer Science

Learning

accepted, noted that the initial path was 217 steps long

Scientific paper

Many reinforcement learning exploration techniques are overly optimistic and
try to explore every state. Such exploration is impossible in environments with
the unlimited number of states. I propose to use simulated exploration with an
optimistic model to discover promising paths for real exploration. This reduces
the needs for the real exploration.

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