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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

Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018
Bounds on the Approximation Power of Feedforward Neural Networks ICML 2018
Optimal approximation of continuous functions by very deep ReLU networks COLT 2018
Convergent Tree Backup and Retrace with Function Approximation ICML 2018
On denoising modulo 1 samples of a function AISTATS 2018
Structure-Aware Convolutional Neural Networks NIPS 2018
Non-delusional Q-learning and value-iteration NIPS 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents ICML 2018
On the Relative Expressiveness of Bayesian and Neural Networks PGM 2018
Geodesic Distance Descriptors CVPR 2017
Device Placement Optimization with Reinforcement Learning ICML 2017
Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017
A Reinforcement Learning Approach to the View Planning Problem CVPR 2017
Neural Networks and Rational Functions ICML 2017
Sobolev Training for Neural Networks NIPS 2017
Reinforcement Learning under Model Mismatch NIPS 2017
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks ICML 2017
Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017
PAC Reinforcement Learning with Rich Observations NIPS 2016
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016
True Online Temporal-Difference Learning JMLR 2016
A ranking approach to global optimization ICML 2016
The Power of Depth for Feedforward Neural Networks COLT 2016
FAemb: A Function Approximation-Based Embedding Method for Image Retrieval CVPR 2015
Universal Value Function Approximators ICML 2015