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Deep Reinforcement Learning

Papers

Showing 401450 of 5822 papers

TitleStatusHype
CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learningCode1
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement LearningCode1
AI2-THOR: An Interactive 3D Environment for Visual AICode1
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental ConditionsCode1
Implementation Matters in Deep RL: A Case Study on PPO and TRPOCode1
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and SimplicityCode1
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource SchedulingCode1
CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement LearningCode1
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning ApproachCode1
Curriculum-guided Hindsight Experience ReplayCode1
AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information SharingCode1
Data-Efficient Reinforcement Learning with Self-Predictive RepresentationsCode1
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field ExperimentsCode1
Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object DetectionCode1
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric VehiclesCode1
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod RobotCode1
Deep Generalized Schrödinger BridgeCode1
Deep Reinforcement Learning at the Edge of the Statistical PrecipiceCode1
A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2CCode1
Decentralized Energy Marketplace via NFTs and AI-based AgentsCode1
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement LearningCode1
Interpretable Concept Bottlenecks to Align Reinforcement Learning AgentsCode1
Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path PlanningCode1
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile NetworksCode1
Decoupling Value and Policy for Generalization in Reinforcement LearningCode1
DeepACO: Neural-enhanced Ant Systems for Combinatorial OptimizationCode1
Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approachCode1
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens ArraysCode1
AllenAct: A Framework for Embodied AI ResearchCode1
Deep Deterministic Portfolio OptimizationCode1
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character SkillsCode1
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven ExplorationCode1
Deep Intrinsically Motivated Exploration in Continuous ControlCode1
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systemsCode1
A Deep Reinforcement Learning Framework for the Financial Portfolio Management ProblemCode1
DeepMind Lab2DCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
Learning Collaborative Policies to Solve NP-hard Routing ProblemsCode1
Learning Discrete World Models for Heuristic SearchCode1
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay BuffersCode1
Faster Deep Reinforcement Learning with Slower Online NetworkCode1
An Introduction to Deep Reinforcement LearningCode1
A Comprehensive Survey on Self-Interpretable Neural NetworksCode1
Deep Recurrent Q-Learning for Partially Observable MDPsCode1
Deep Reinforcement Agent for Scheduling in HPCCode1
Tactical Optimism and Pessimism for Deep Reinforcement LearningCode1
Deep Reinforcement Learning with Gradient Eligibility TracesCode1
Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV NetworksCode1
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learningCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
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