Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network
Reinforcement learning-based multi-agent system for network traffic signal control
Neural Networks for Real-Time Traffic Signal Control
Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks
Policy Gradient Based Reinforcement Learning Approach for Autonomous Highway Driving
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
Exploration-Exploitation Trade-off in Deep Reinforcement Learning
Reinforcement learning for adaptive routing
Learning To Route with Deep RL
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
Adaptive Traffic Signal Control With Vehicular Ad hoc Networks
Algorithms for Reinforcement Learning
Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach
Deep Reinforcement Learning with Averaged Target DQN
Reinforcement learning for adaptive network routing
Rainbow: Combining Improvements in Deep Reinforcement Learning
Human-like Autonomous Vehicle Speed Control by Deep Reinforcement Learning with Double Q-Learning
A Tour of Reinforcement Learning: The View from Continuous Control
A Boosting-based Deep Neural Networks Algorithm for Reinforcement Learning
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
Adaptive Learning in Tracking Control Based on the Dual Critic Network Design
Design high power and high efficiency inverter operating at 13.56MHz for wireless power transfer systems
Overall job satisfaction: How good are single-item measures?
Reinforcement Learning: A Survey
Analysis of the contribution of FTO, NPC1, ENPP1, NEGR1, GNPDA2 and MC4Rgenes to obesity in Mexican children
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation