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temporal difference learning

149 papers

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Also known as

TD TD LEARNING TD-LEARNING LSTD GTD

Co-occurring keywords

reinforcement learning (4122) policy evaluation (115) function approximation (319) value function (294) markov decision process (788) off-policy learning (227) stochastic approximation (101) linear function approximation (101) policy optimization (630) convergence analysis (394)

Papers

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets IJCAI 2019
Hindsight Credit Assignment NIPS 2019
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NIPS 2019
Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NIPS 2019
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NIPS 2019
Separating value functions across time-scales ICML 2019
RUDDER: Return Decomposition for Delayed Rewards NIPS 2019
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NIPS 2018
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation COLT 2018
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018
Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation CORL 2018
On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017
Consistent On-Line Off-Policy Evaluation ICML 2017
State Aware Imitation Learning NIPS 2017
Bayesian Policy Gradient and Actor-Critic Algorithms JMLR 2016
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016
Learning the Variance of the Reward-To-Go JMLR 2016
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015
Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014
Quasi Newton Temporal Difference Learning ACML 2014