conftrace_

linear function approximation

101 papers

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Also known as

LFA

Co-occurring keywords

reinforcement learning (4352) regret bound (1926) markov decision process (790) sample complexity (1169) function approximation (319) temporal difference learning (149) value function (295) value iteration (162) policy optimization (657) policy evaluation (115)

Papers

Logarithmic Regret for Reinforcement Learning with Linear Function Approximation ICML 2021
Provably Efficient Exploration in Policy Optimization ICML 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NIPS 2020
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration NIPS 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation NIPS 2020
Efficient Planning in Large MDPs with Weak Linear Function Approximation NIPS 2020
A new convergent variant of Q-learning with linear function approximation NIPS 2020
Provably efficient reinforcement learning with linear function approximation COLT 2020
Finite-Sample Analysis for SARSA with Linear Function Approximation NIPS 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NIPS 2019
Distributional reinforcement learning with linear function approximation AISTATS 2019
Target-Based Temporal-Difference Learning ICML 2019
Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NIPS 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
Weighted importance sampling for off-policy learning with linear function approximation NIPS 2014
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NIPS 2008