value function approximation

ValueNetQP: Learned One-step Optimal Control for Legged Locomotion L4DC 2022 What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022 Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks AAAI 2021 Adaptive Approximate Policy Iteration AISTATS 2021 Batch Value-function Approximation with Only Realizability ICML 2021 Blending MPC & Value Function Approximation for Efficient Reinforcement Learning ICLR 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Learning Value Functions in Deep Policy Gradients using Residual Variance ICLR 2021 Near-Optimal Representation Learning for Linear Bandits and Linear RL ICML 2021 Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021 Risk-Averse Learning by Temporal Difference Methods with Markov Risk Measures JMLR 2021 Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021 Stabilizing Q Learning Via Soft Mellowmax Operator AAAI 2021 State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits IJCAI 2021 Temporal Difference Learning as Gradient Splitting ICML 2021 Towards Robust Bisimulation Metric Learning NeurIPS 2021 Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning ICML 2020 ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020 Critic Regularized Regression NeurIPS 2020 Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020 Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020 Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes RSS 2020 Model-Based Reinforcement Learning with Value-Targeted Regression L4DC 2020 Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension NeurIPS 2020