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Deep Reinforcement Learning

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TitleStatusHype
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions—0
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator—0
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter—0
Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation—0
VoI-Driven Joint Optimization of Control and Communication in Vehicular Digital Twin Network—0
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control—0
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning—0
Language and Culture Internalisation for Human-Like Autotelic AI—0
WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving—0
Warm-Start AlphaZero Self-Play Search Enhancements—0
Warmth and competence in human-agent cooperation—0
Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning—0
Wastewater Treatment Plant Data for Nutrient Removal System—0
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems—0
WaveCorr: Deep Reinforcement Learning with Permutation Invariant Policy Networks for Portfolio Management—0
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog—0
Way Off-Policy Batch Deep Reinforcement Learning of Human Preferences in Dialog—0
Weakly Coupled Deep Q-Networks—0
Weighted Bellman Backups for Improved Signal-to-Noise in Q-Updates—0
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments—0
Weighted Quantum Channel Compiling through Proximal Policy Optimization—0
What deep reinforcement learning tells us about human motor learning and vice-versa—0
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks—0
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning—0
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network—0
When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning—0
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework—0
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning—0
Where Off-Policy Deep Reinforcement Learning Fails—0
Where to go: Agent Guidance with Deep Reinforcement Learning in A City-Scale Online Ride-Hailing Service—0
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians—0
Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning—0
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning—0
Why Should I Trust You, Bellman? Evaluating the Bellman Objective with Off-Policy Data—0
Why Target Networks Stabilise Temporal Difference Methods—0
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks—0
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach—0
Winning at Any Cost -- Infringing the Cartel Prohibition With Reinforcement Learning—0
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents—0
Wireless Resource Allocation with Collaborative Distributed and Centralized DRL under Control Channel Attacks—0
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving—0
World Models for General Surgical Grasping—0
Worst Cases Policy Gradients—0
XDQN: Inherently Interpretable DQN through Mimicking—0
XLVIN: eXecuted Latent Value Iteration Nets—0
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control—0
Zero-Shot Policy Transfer with Disentangled Attention—0
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty—0
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs—0
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots—0
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