SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9551–9575 of 15113 papers

TitleStatusHype
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time—0
Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable—0
Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic—0
Deep Reinforcement Learning-based Image Captioning with Embedding Reward—0
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images—0
Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications—0
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things—0
Deep Reinforcement Learning based Model-free On-line Dynamic Multi-Microgrid Formation to Enhance Resilience—0
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle—0
Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications—0
Deep Reinforcement Learning Based on Location-Aware Imitation Environment for RIS-Aided mmWave MIMO Systems—0
Deep Reinforcement Learning based Optimal Control of Hot Water Systems—0
Deep Reinforcement Learning Based Power control for Wireless Multicast Systems—0
Deep Reinforcement Learning Based Power Allocation for D2D Network—0
Deep Reinforcement Learning-Based Product Recommender for Online Advertising—0
Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks—0
Deep Reinforcement Learning-BasedRobust Protection in DER-Rich Distribution Grids—0
Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems—0
Deep Reinforcement Learning Based Semi-Autonomous Control for Robotic Surgery—0
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference—0
Deep Reinforcement Learning Boosted by External Knowledge—0
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments—0
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles—0
Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse using Root-Flipping: DeepRF_SLR—0
Deep Reinforcement Learning Discovers Internal Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76—Unverified
2PPOMean Normalized Performance0.58—Unverified