function approximation

A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning ICLR 2023 Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks ICLR 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling ICML 2023 Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023 Constrained Monotonic Neural Networks ICML 2023 Convergence rates for localized actor-critic in networked Markov potential games UAI 2023 Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023 Corruption-Robust Offline Reinforcement Learning with General Function Approximation NeurIPS 2023 CT-DQN: Control-Tutored Deep Reinforcement Learning L4DC 2023 Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games ICLR 2023 Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees NeurIPS 2023 Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? ICLR 2023 Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023 Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories ICML 2023 Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization ICML 2023 Efficient Model-Free Exploration in Low-Rank MDPs NeurIPS 2023 Experiment Planning with Function Approximation NeurIPS 2023 Exploration via Epistemic Value Estimation AAAI 2023 Finite-Time Analysis of Single-Timescale Actor-Critic NeurIPS 2023 Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves IJCAI 2023 Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games AAAI 2023 Future-Dependent Value-Based Off-Policy Evaluation in POMDPs NeurIPS 2023 Global Optimization with Parametric Function Approximation ICML 2023