Hello everyone,
I am a prospective GSOC-2012 student. I have some project ideas that i
would like to bounce-off the community:
I would like add online-learning functionality. To do so, we can implement
some reinforcement-learning algorithms. The problem is described in terms
of an "agent" that needs to choose between various possible actions, and it
gets feedback based on the results. Reinforcement learning techniques are
concerned with finding optimal policies for the agent under various
conditions.
Specifically, i have 2 algorithms in mind to start off with:
1. Computation of the Gittin's index, which is an optimal solution to the
multi-armed bandit problem: http://en.wikipedia.org/wiki/Multi-armed_bandit
2. Value iteration/policy iteration:
http://en.wikipedia.org/wiki/Markov_decision_process#Value_iteration
So, what do you think about these ideas in general? Also, are they suitable
candidates for a GSOC project?
regards
shankar.
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