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function approximation

319 papers

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Co-occurring keywords

reinforcement learning (4122) regret bound (1918) markov decision process (788) sample complexity (1158) neural network (6616) temporal difference learning (149) value function (294) offline reinforcement learning (492) deep reinforcement learning (903) value iteration (162)

Papers

On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015
A Deeper Look at Planning as Learning from Replay ICML 2015
True Online TD(lambda) ICML 2014
Incremental Local Gaussian Regression NIPS 2014
Combining the benefits of function approximation and trajectory optimization RSS 2014
Approximate Policy Iteration Schemes: A Comparison ICML 2014
Scaling Up Robust MDPs using Function Approximation ICML 2014
Sample-based approximate regularization ICML 2014
Universal Option Models NIPS 2014
Efficient Sampling for Learning Sparse Additive Models in High Dimensions NIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs NIPS 2014
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NIPS 2013
Temporal Difference Methods for the Variance of the Reward To Go ICML 2013
Sketch-Based Linear Value Function Approximation NIPS 2012
Active Learning of Multi-Index Function Models NIPS 2012
Value Pursuit Iteration NIPS 2012
Online allocation and homogeneous partitioning for piecewise constant mean-approximation NIPS 2012
Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011
The Fixed Points of Off-Policy TD NIPS 2011
Multi-armed bandits on implicit metric spaces NIPS 2011
Dynamic Policy Programming with Function Approximation AISTATS 2011
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
LSTD with Random Projections NIPS 2010
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting JMLR 2010
Scrambled Objects for Least-Squares Regression NIPS 2010