Last change
on this file since 11728 was
11727,
checked in by gkronber, 9 years ago
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#2283: worked on grammatical optimization problem solvers (simple MCTS done)
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File size:
869 bytes
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[11708] | 1 | using System;
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| 2 | using System.Collections.Generic;
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| 3 | using System.Linq;
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| 4 | using System.Text;
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| 5 | using System.Threading.Tasks;
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| 6 |
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| 7 | namespace HeuristicLab.Algorithms.Bandits {
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[11727] | 8 | // this interface represents a policy for reinforcement learning
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[11708] | 9 | public interface IPolicy {
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[11727] | 10 | IEnumerable<int> Actions { get; }
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| 11 | int SelectAction(); // action selection ...
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| 12 | void UpdateReward(int action, double reward); // ... and reward update are defined as usual
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| 13 |
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| 14 | // policies must also support disabling of potential actions
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| 15 | // for instance if we know that an action in a state has a deterministic
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| 16 | // reward we need to sample it only once
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| 17 | // it is necessary to sample an action only once
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| 18 | void DisableAction(int action);
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| 19 |
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| 20 | // reset causes the policy to be reinitialized to it's initial state (as after constructor-call)
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[11708] | 21 | void Reset();
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| 22 | }
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| 23 | }
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