Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Reinforcement Learning for Electric Power System Decision and Control: Past Considerations and Perspectives
Reinforcement Learning for the Unit Commitment Problem
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
Online least-squares policy iteration for reinforcement learning control
Power System Control and Stability
PowerMatcher: multiagent control in the electricity infrastructure
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Experience-based model predictive control using reinforcement learning ∗
A generalized path integral control approach to reinforcement learning
Reinforcement Learning and Markov Decision Processes
Reinforcement Learning and Adaptive Dynamic Programming for Feedback Control
An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis
Rule-Based Control of Battery Energy Storage for Dispatching Intermittent Renewable Sources
Dynamic pricing for smart grid with reinforcement learning
Hierarchical dynamic power management using model-free reinforcement learning
Control delay in Reinforcement Learning for real-time dynamic systems: A memoryless approach
A Tour of Reinforcement Learning: The View from Continuous Control
Hierarchical Decision Making In Electricity Grid Management
Deep Reinforcement Learning for Optimal Control of Space Heating
Hierarchical Control and Learning for Markov Decision Processes
Predictive control for real-time frequency regulation and rotational inertia provision in power systems
A Real-Time Autonomous Highway Accident Detection Model Based on Big Data Processing and Computational Intelligence
On the Role of Seed Lexicons in Learning Bilingual Word Embeddings
Complementary and synergistic therapeutic effects of compounds found in Kampo medicine: analysis of daikenchuto
Human-level control through deep reinforcement learning
The genome of the recently domesticated crop plant sugar beet (Beta vulgaris)