Co-occurring keywords
reinforcement learning
(4352)
deep reinforcement learning
(903)
policy optimization
(657)
markov decision process
(790)
offline reinforcement learning
(492)
temporal difference learning
(149)
sample efficiency
(472)
function approximation
(319)
off-policy learning
(228)
model-based reinforcement learning
(415)
Papers
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms
AISTATS 2022
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
NIPS 2022
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
ICML 2022
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
AAAI 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
JMLR 2022
The Geometry of Robust Value Functions
ICML 2022