
Efficient Local Planning with Linear Function Approximation
We study query and computationally efficient planning algorithms with li...
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Improved Regret Bound and Experience Replay in Regularized Policy Iteration
In this work, we study algorithms for learning in infinitehorizon undis...
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Optimization Issues in KLConstrained Approximate Policy Iteration
Many reinforcement learning algorithms can be seen as versions of approx...
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Neural Rate Control for Video Encoding using Imitation Learning
In modern video encoders, rate control is a critical component and has b...
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A maximumentropy approach to offpolicy evaluation in averagereward MDPs
This work focuses on offpolicy evaluation (OPE) with function approxima...
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Robotic Table Tennis with ModelFree Reinforcement Learning
We propose a modelfree algorithm for learning efficient policies capabl...
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Provably Efficient Adaptive Approximate Policy Iteration
Modelfree reinforcement learning algorithms combined with value functio...
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ExplorationEnhanced POLITEX
We study algorithms for averagecost reinforcement learning problems wit...
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Hierarchical Policy Design for SampleEfficient Learning of Robot Table Tennis Through SelfPlay
Training robots with physical bodies requires developing new methods and...
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Online Linear Quadratic Control
We study the problem of controlling linear timeinvariant systems with k...
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Regret Bounds for ModelFree Linear Quadratic Control
Modelfree approaches for reinforcement learning (RL) and continuous con...
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ContextDependent FineGrained Entity Type Tagging
Entity type tagging is the task of assigning category labels to each men...
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Nevena Lazic
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