Time manipulation technique for speeding up reinforcement learning in simulations

Details Time manipulation technique for speeding up reinforcement learning in simulations Time manipulation technique for speeding up reinforcement learning in simulations

2009-03-28

arxiv.org/abs/0903.4930v1

International Journal of Cybernetics and Information Technologies, vol. 8, no. 1, pp. 12-24, 2008

Computer Science

Artificial Intelligence

12 pages

Scientific paper

A technique for speeding up reinforcement learning algorithms by using time manipulation is proposed. It is applicable to failure-avoidance control problems running in a computer simulation. Turning the time of the simulation backwards on failure events is shown to speed up the learning by 260% and improve the state space exploration by 12% on the cart-pole balancing task, compared to the conventional Q-learning and Actor-Critic algorithms.

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