Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Policy Gradient Methods for Reinforcement Learning with Function Approximation and Action-Dependent Baselines
Policy Gradient Methods for Reinforcement Learning with Function Approximation
A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients
Parallel Reinforcement Learning with Linear Function Approximation
Combining policy gradient and Q-learning
Deterministic Policy Gradient Algorithms
Gradient-free Policy Architecture Search and Adaptation
AC2: A Policy Gradient Actor with Primary and Secondary Critics
Accelerated Methods for Deep Reinforcement Learning
A Unified Analysis of Value-Function-Based Reinforcement-Learning Algorithms
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Forward Actor-Critic for Nonlinear Function Approximation in Reinforcement Learning
Clipped Action Policy Gradient
Expected Policy Gradients for Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Addressing Function Approximation Error in Actor-Critic Methods
A Cross Entropy based Stochastic Approximation Algorithm for Reinforcement Learning with Linear Function Approximation
Generalization in Reinforcement Learning: Safely Approximating the Value Function
Equivalence Between Policy Gradients and Soft Q-Learning
On-Policy vs. Off-Policy Updates for Deep Reinforcement Learning
Online Multi-Task Learning for Policy Gradient Methods
Reinforcement Learning: An Introduction
A 30fJ/conversion-step 8b 0-to-10MS/s asynchronous SAR ADC in 90nm CMOS
A Comparative Analysis of XML Documents, XML Enabled Databases and Native XML Databases
Experimental research on locomotion characters of water strider and movement realization on a water strider robot
The Gold Standard in Corpus Annotation