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I propose adding a Java implementation of the Monte Carlo Tree Search (MCTS) algorithm. MCTS is a heuristic search algorithm used for decision-making in problems such as games and complex optimization…
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The current strategy assigns exploitation and exploration weights to clusters in the following manner:
![image](https://user-images.githubusercontent.com/7997790/50731117-92257780-1122-11e9-940c-51…
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Here are ways that I see mlrMBO currently offering control over exploration vs exploitation for single-objective tuning:
- The infill criterion offers a discrete set of choices, each of which impli…
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An overview over all techniques/strategies mentioned:
1. Policy exploration/exploitation
- $\epsilon$-greedy
- Softmax
2. Update Q function
- SARSA
- (k-step) temporal differen…
luwo9 updated
2 months ago
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- Exploitation is the right thing to do to maximize the expected reward on the one step, but
exploration may produce the greater total reward in the long run.
- Reward is lower in the short run, dur…
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https://en.wikipedia.org/wiki/Multi-armed_bandit
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With the models grouping introduced in {{3.34}}, the {{exploitation_ratio}} doesn’t apply as strictly as it did before.
Pre {{3.34}}, the exploitation ratio was dedicated to tuning of learn-rate on t…
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Can you point me to an example, using Stheno, of Bayesian Optimization with an objective that considers exploration and exploitation?
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The agent should follow the same policy in both training and testing process , and I check the code, and run all three methods of deep Q-learning, but the training reward of an episode are always belo…