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Deep Reinforcement Learning

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Showing 1101–1150 of 5822 papers

TitleStatusHype
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution ShiftsCode0
Aligning Crowd Feedback via Distributional Preference Reward Modeling—0
Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach—0
DRL-Based Orchestration of Multi-User MISO Systems with Stacked Intelligent Metasurfaces—0
Uncertainty-Aware Transient Stability-Constrained Preventive Redispatch: A Distributional Reinforcement Learning Approach—0
Exploiting Estimation Bias in Clipped Double Q-Learning for Continous Control Reinforcement Learning Tasks—0
Single-Reset Divide & Conquer Imitation Learning—0
LL-GABR: Energy Efficient Live Video Streaming Using Reinforcement Learning—0
FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement LearningCode0
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning—0
Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing—0
Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular ReprogrammingCode0
A Competition Winning Deep Reinforcement Learning Agent in microRTSCode1
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy NetworksCode0
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning—0
Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching—0
Scaling Intelligent Agents in Combat Simulations for Wargaming—0
Intelligent Mode-switching Framework for Teleoperation—0
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning—0
Decision Theory-Guided Deep Reinforcement Learning for Fast LearningCode0
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making—0
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated LearningCode1
Analyzing Adversarial Inputs in Deep Reinforcement Learning—0
A computational approach to visual ecology with deep reinforcement learning—0
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving—0
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks—0
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path PlanningCode1
Language-Based Augmentation to Address Shortcut Learning in Object Goal NavigationCode0
Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach—0
Collaborative Deep Reinforcement Learning for Resource Optimization in Non-Terrestrial Networks—0
Reinforcement Learning with Ensemble Model Predictive Safety CertificationCode0
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement LearningCode0
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences—0
Deep Reinforcement Learning for Picker Routing Problem in Warehousing—0
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment DesignCode0
Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks—0
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks—0
INViT: A Generalizable Routing Problem Solver with Invariant Nested View TransformerCode1
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things—0
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control—0
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach—0
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-errorCode1
Parametric-Task MAP-Elites—0
DRL-Based Dynamic Channel Access and SCLAR Maximization for Networks Under Jamming—0
Learning the Market: Sentiment-Based Ensemble Trading Agents—0
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems—0
RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure PathwayCode0
Vertical Symbolic Regression via Deep Policy GradientCode0
Neural Policy Style Transfer—0
Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk ManagementCode2
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