value function approximation

Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees L4DC 2024 Neur2BiLO: Neural Bilevel Optimization NeurIPS 2024 Oracle-Efficient Reinforcement Learning for Max Value Ensembles NeurIPS 2024 The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NeurIPS 2024 The Power of Resets in Online Reinforcement Learning NeurIPS 2024 Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability ICML 2023 Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning CVPR 2023 Hypernetworks for Zero-Shot Transfer in Reinforcement Learning AAAI 2023 Improving Deep Policy Gradients with Value Function Search ICLR 2023 Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning IJCAI 2023 Model-Free Reinforcement Learning with the Decision-Estimation Coefficient NeurIPS 2023 Posterior Sampling for Deep Reinforcement Learning ICML 2023 Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023 The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation ICML 2023 Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization ICML 2023 VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation ICLR 2023 A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022 Learning Expected Emphatic Traces for Deep RL AAAI 2022 Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes JMLR 2022 Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation COLT 2022 Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022 Oracle Inequalities for Model Selection in Offline Reinforcement Learning NeurIPS 2022 Overcoming The Spectral Bias of Neural Value Approximation ICLR 2022 PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method ICLR 2022 Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022