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Aviv Tamar
Researcher at Technion – Israel Institute of Technology
Publications - 111
Citations - 7986
Aviv Tamar is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Reinforcement learning & Computer science. The author has an hindex of 31, co-authored 97 publications receiving 5310 citations. Previous affiliations of Aviv Tamar include Cornell University & Facebook.
Papers
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Proceedings Article
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN.
Journal ArticleDOI
Integrating a partial model into model free reinforcement learning
TL;DR: This work proposes a novel procedure which augments a model free algorithm with a partial model, and proves that this approach leads to improved policy evaluation whenever environmental knowledge is available, without compromising performance when such knowledge is absent.
Posted Content
Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes
TL;DR: This paper proposes both TD(0) and LSTD(lambda) variants with linear function approximation, proves their convergence, and demonstrates their utility in a 4-dimensional continuous state space problem.
Posted Content
Learning Generalized Reactive Policies using Deep Neural Networks
TL;DR: In this paper, a deep neural network is used to learn and represent a generalized reactive policy (GRP) that maps a problem instance and a state to an action, and the learned GRPs efficiently solve large classes of challenging problem instances.
Posted Content
Sub-Goal Trees - a Framework for Goal-Directed Trajectory Prediction and Optimization.
TL;DR: A goal-conditioned trajectory can be represented by first selecting an intermediate state between start and goal, partitioning the trajectory into two, and recursively, predicting intermediate points on each sub-segment until a complete trajectory is obtained.