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Deep Reinforcement Learning

Papers

Showing 351400 of 5822 papers

TitleStatusHype
Catalyst.RL: A Distributed Framework for Reproducible RL ResearchCode1
CDT: Cascading Decision Trees for Explainable Reinforcement LearningCode1
Training a Resilient Q-Network against Observational InterferenceCode1
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTSCode1
Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series ForecastingCode1
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial ExplorationCode1
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learningCode1
Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement LearningCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
Chip Placement with Deep Reinforcement LearningCode1
Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field TestsCode1
Affordance Learning from Play for Sample-Efficient Policy LearningCode1
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning PlatformCode1
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience ReplayCode1
Experience Replay with Likelihood-free Importance WeightsCode1
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning PoliciesCode1
Co-designing Intelligent Control of Building HVACs and MicrogridsCode1
Deep Reinforcement Learning for List-wise RecommendationsCode1
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
Exploration by Random Network DistillationCode1
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoTCode1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley ValuesCode1
Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning ApproachCode1
Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular NetworksCode1
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental PlatformsCode1
An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC controlCode1
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward AlgorithmCode1
Deep reinforcement learning for large-scale epidemic controlCode1
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesCode1
Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book ModelCode1
Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D UltrasoundCode1
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy SearchCode1
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement LearningCode1
Computational Performance of Deep Reinforcement Learning to find Nash EquilibriaCode1
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving ManeuversCode1
A Deep Reinforcement Learning Framework for the Financial Portfolio Management ProblemCode1
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement LearningCode1
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource AllocationCode1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint GeneratorsCode1
A Closer Look at Invalid Action Masking in Policy Gradient AlgorithmsCode1
Continuous Coordination As a Realistic Scenario for Lifelong LearningCode1
2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and FollowingCode1
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution StrategyCode1
Acme: A Research Framework for Distributed Reinforcement LearningCode1
Generalizing Across Multi-Objective Reward Functions in Deep Reinforcement LearningCode1
Continuous control with deep reinforcement learningCode1
Geometric Deep Reinforcement Learning for Dynamic DAG SchedulingCode1
Continuous-Time Fitted Value Iteration for Robust PoliciesCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
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