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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

Branching Reinforcement Learning ICML 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation ICML 2022
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation ICML 2022
Width is Less Important than Depth in ReLU Neural Networks COLT 2022
A Unifying Framework of Off-Policy General Value Function Evaluation NIPS 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL NIPS 2022
Approximate Value Equivalence NIPS 2022
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration NIPS 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations NIPS 2022
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022
Bellman Residual Orthogonalization for Offline Reinforcement Learning NIPS 2022
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design NIPS 2022
A Boosting Approach to Reinforcement Learning NIPS 2022
Your Transformer May Not be as Powerful as You Expect NIPS 2022
Understanding the Eluder Dimension NIPS 2022
Global Optimization Networks ICML 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NIPS 2022
Power and limitations of single-qubit native quantum neural networks NIPS 2022
End-to-end Symbolic Regression with Transformers NIPS 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NIPS 2022
Neural Network Architecture Beyond Width and Depth NIPS 2022
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NIPS 2022
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data UAI 2021