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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

Universal Approximation with Deep Narrow Networks COLT 2020
Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020
Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations NIPS 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis NIPS 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020
Adaptive multi-fidelity optimization with fast learning rates AISTATS 2020
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs NIPS 2020
Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions ICML 2020
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020
On the Modularity of Hypernetworks NIPS 2020
Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity NIPS 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles ICML 2020
Representations for Stable Off-Policy Reinforcement Learning ICML 2020
Residual Neural Processes AAAI 2020
What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020
A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020
Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning AISTATS 2020
Sparse Shrunk Additive Models ICML 2020
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020
The phase diagram of approximation rates for deep neural networks NIPS 2020
Rational neural networks NIPS 2020
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction ICML 2019