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

Exponential Hardness of Reinforcement Learning with Linear Function Approximation COLT 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023
Linear Reinforcement Learning with Ball Structure Action Space ALT 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023
On the Convergence of SARSA with Linear Function Approximation ICML 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023
Ordering-based Conditions for Global Convergence of Policy Gradient Methods NIPS 2023
Finite-sample guarantees for Nash Q-learning with linear function approximation UAI 2023
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning ICML 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022
Learning Stochastic Shortest Path with Linear Function Approximation ICML 2022
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022
Towards painless policy optimization for constrained MDPs UAI 2022
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs ICML 2022
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation NIPS 2022
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency ICML 2022
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation AISTATS 2022
Confident Least Square Value Iteration with Local Access to a Simulator AISTATS 2022
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation AISTATS 2022
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation ICML 2022
Computational-Statistical Gap in Reinforcement Learning COLT 2022