منابع مشابه
Reinforcement Learning Trees
Two new reinforcement learning algorithms are presented. Both use a binary tree to store simple local models in the leaf nodes and coarser global models towards the root. It is demonstrated that a meaningful partitioning into local models can only be accomplished in a fused space consisting of both input and output. The rst algorithm uses a batch like statistic procedure to estimate the reward ...
متن کاملReinforcement Learning with Decision Trees
We present a decision tree based approach to function approximation in reinforcement learning. We compare our approach with table lookup and a neural network function approximator on three problems: the well known mountain car and pole balance problems as well as a simulated automobile race car. We find that the decision tree can provide better learning performance than the neural network funct...
متن کاملReinforcement Learning Policy Approximation by Behavior Trees
Traditionally a Reinforcement Learning (RL) policy is stored in a lookup table. From such a table it is difficult to observe the behavioral logic or manually adjust this logic post-learning is difficult. This paper shows how behavioral logic of a RL controller is presented in an insightful manner and can be adjusted using the Behavior Tree (BT) framework. It shows a method to approximate an RL ...
متن کاملFeature Reinforcement Learning using Looping Suffix Trees
There has recently been much interest in history-based methods using suffix trees to solve POMDPs. However, these suffix trees cannot efficiently represent environments that have long-term dependencies. We extend the recently introduced CTΦMDP algorithm to the space of looping suffix trees which have previously only been used in solving deterministic POMDPs. The resulting algorithm replicates r...
متن کاملGeneration of regression trees using reinforcement learning
We present a novel methodology for regression trees generation that uses the reinforcement learning frame for learning efficient regression trees. We describe the basic variant of such a methodology that uses the Monte-Carlo method to explore the space of possible regression trees. Comparison with other methods of regression is performed and evaluated. Our algorithm is implemented as a software...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2015
ISSN: 0162-1459,1537-274X
DOI: 10.1080/01621459.2015.1036994