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Deep Reinforcement Learning

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TitleStatusHype
Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement LearningCode0
Variational Quantum Soft Actor-Critic for Robotic Arm Control—0
Joint Relay Selection and Beam Management Based on Deep Reinforcement Learning for Millimeter Wave Vehicular Communication—0
Neural Coreference Resolution based on Reinforcement Learning—0
Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach—0
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal NavigationCode0
Reinforcement Learning for Agile Active Target Sensing with a UAV—0
An Energy-aware and Fault-tolerant Deep Reinforcement Learning based approach for Multi-agent Patrolling Problems—0
Comparing Approaches to Distributed Control of Fluid Systems based on Multi-Agent Systems—0
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer—0
Driver Assistance Eco-driving and Transmission Control with Deep Reinforcement Learning—0
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNetCode0
Robust Policy Optimization in Deep Reinforcement LearningCode0
Quantum Control based on Deep Reinforcement Learning—0
Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets—0
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration—0
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown—0
Where to go: Agent Guidance with Deep Reinforcement Learning in A City-Scale Online Ride-Hailing Service—0
Reinforced Approximate Exploratory Data Analysis—0
Generalization Through the Lens of Learning Dynamics—0
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks—0
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization—0
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning—0
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information—0
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces—0
Tiered Reward: Designing Rewards for Specification and Fast Learning of Desired BehaviorCode0
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble—0
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson valuesCode0
Cooperative Guidance Strategy for Active Defense Spacecraft with Imperfect Information via Deep Reinforcement Learning—0
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning—0
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks—0
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?Code0
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat—0
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement LearningCode0
STL-Based Synthesis of Feedback Controllers Using Reinforcement LearningCode0
CT-DQN: Control-Tutored Deep Reinforcement Learning—0
Launchpad: Learning to Schedule Using Offline and Online RL Methods—0
Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System—0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox—0
The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for 6G—0
Reinforcement Learning for Multi-Truck Vehicle Routing Problems—0
Autotuning PID control using Actor-Critic Deep Reinforcement Learning—0
Continuous Neural Algorithmic Planners—0
Approximating Martingale Process for Variance Reduction in Deep Reinforcement Learning with Large State Space—0
Performance Evaluation, Optimization and Dynamic Decision in Blockchain Systems: A Recent Overview—0
Distributed Energy Management and Demand Response in Smart Grids: A Multi-Agent Deep Reinforcement Learning Framework—0
Discrete Control in Real-World Driving Environments using Deep Reinforcement Learning—0
Causal Deep Reinforcement Learning Using Observational Data—0
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning—0
Continuous Episodic Control—0
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