linear function approximation

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games ICLR 2020 A new convergent variant of Q-learning with linear function approximation NeurIPS 2020 A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NeurIPS 2020 Efficient Planning in Large MDPs with Weak Linear Function Approximation NeurIPS 2020 Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020 Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020 Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020 On Reward-Free Reinforcement Learning with Linear Function Approximation NeurIPS 2020 Provably Efficient Exploration in Policy Optimization ICML 2020 Provably efficient reinforcement learning with linear function approximation COLT 2020 Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration NeurIPS 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019 Distributional reinforcement learning with linear function approximation AISTATS 2019 Finite-Sample Analysis for SARSA with Linear Function Approximation NeurIPS 2019 Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019 Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NeurIPS 2019 Target-Based Temporal-Difference Learning ICML 2019 A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation COLT 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Stochastic Variance Reduction Methods for Policy Evaluation ICML 2017 RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015 Universal Option Models NeurIPS 2014 Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014