Co-occurring keywords · papers mentioning both
Papers
Uncorrected Least-Squares Temporal Difference with Lambda-Return
AAAI 2020
Unknown mixing times in apprenticeship and reinforcement learning
UAI 2020
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
NeurIPS 2019
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
ICML 2019
Distributional reinforcement learning with linear function approximation
AISTATS 2019
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning
ICML 2019
Neural Temporal-Difference Learning Converges to Global Optima
NeurIPS 2019
Planning with Expectation Models
IJCAI 2019
Policy Evaluation with Latent Confounders via Optimal Balance
NeurIPS 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
COLT 2019
Two-Timescale Networks for Nonlinear Value Function Approximation
ICLR 2019
Variance Reduced Policy Evaluation with Smooth Function Approximation
NeurIPS 2019
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
IJCAI 2018
Balanced Policy Evaluation and Learning
NeurIPS 2018
Exploration by Distributional Reinforcement Learning
IJCAI 2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
IJCAI 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
ICML 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
NeurIPS 2018
Policy Evaluation and Optimization with Continuous Treatments
AISTATS 2018
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation
CoRL 2018
Data-Efficient Policy Evaluation Through Behavior Policy Search
ICML 2017
Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions
IJCAI 2017
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
NeurIPS 2017
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
IJCAI 2017
Stochastic Variance Reduction Methods for Policy Evaluation
ICML 2017