function approximation

Sorting Out Lipschitz Function Approximation ICML 2019 The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure ICLR 2019 The Natural Language of Actions ICML 2019 Universal Successor Features Approximators ICLR 2019 Algorithms or Actions? A Study in Large-Scale Reinforcement Learning IJCAI 2018 Bounds on the Approximation Power of Feedforward Neural Networks ICML 2018 Conditional Neural Processes ICML 2018 Convergent Tree Backup and Retrace with Function Approximation ICML 2018 DORA The Explorer: Directed Outreaching Reinforcement Action-Selection ICLR 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents ICML 2018 Non-delusional Q-learning and value-iteration NeurIPS 2018 On denoising modulo 1 samples of a function AISTATS 2018 On the Relative Expressiveness of Bayesian and Neural Networks PGM 2018 Optimal approximation of continuous functions by very deep ReLU networks COLT 2018 Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018 Scalable Initial State Interdiction for Factored MDPs IJCAI 2018 Structure-Aware Convolutional Neural Networks NeurIPS 2018 TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning ICLR 2018 A Reinforcement Learning Approach to the View Planning Problem CVPR 2017 Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017 Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017 Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks ICML 2017 Device Placement Optimization with Reinforcement Learning ICML 2017 Geodesic Distance Descriptors CVPR 2017