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Deep Reinforcement Learning

Papers

Showing 17261750 of 5822 papers

TitleStatusHype
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization0
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization0
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement0
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement LearningCode1
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized DiversityCode1
A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation0
Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization0
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement LearningCode0
Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement0
Online Portfolio Management via Deep Reinforcement Learning with High-Frequency DataCode1
BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms0
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition0
Posterior Sampling for Deep Reinforcement LearningCode1
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement LearningCode0
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning0
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading0
Adversarial Policy Optimization in Deep Reinforcement Learning0
Discovering Object-Centric Generalized Value Functions From PixelsCode0
SocNavGym: A Reinforcement Learning Gym for Social NavigationCode1
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning0
Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep and Power Control in RIS-aided Energy-Efficient RAN0
Federated Deep Reinforcement Learning for THz-Beam Search with Limited CSI0
Roll-Drop: accounting for observation noise with a single parameter0
Dynamic Datasets and Market Environments for Financial Reinforcement LearningCode6
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks0
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