approximate dynamic programming

Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time NeurIPS 2024 Generalized Policy Iteration using Tensor Approximation for Hybrid Control ICLR 2024 Conditional abstraction trees for sample-efficient reinforcement learning UAI 2023 Policy Gradient in Robust MDPs with Global Convergence Guarantee ICML 2023 Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems JMLR 2022 Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning AISTATS 2022 Confident Approximate Policy Iteration for Efficient Local Planning in q^π-realizable MDPs NeurIPS 2022 Abstraction-based branch and bound approach to Q-learning for hybrid optimal control L4DC 2021 DDPNOpt: Differential Dynamic Programming Neural Optimizer ICLR 2021 Deep Conservative Policy Iteration AAAI 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 Iterative Value-Aware Model Learning NeurIPS 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018 Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NeurIPS 2016 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Approximate Modified Policy Iteration and its Application to the Game of Tetris JMLR 2015 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Scaling Up Robust MDPs using Function Approximation ICML 2014 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NeurIPS 2013 Safe Policy Iteration ICML 2013 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 Value Pursuit Iteration NeurIPS 2012 A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NeurIPS 2011