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 4851–4875 of 15113 papers

TitleStatusHype
A Reinforcement Learning Approach to the View Planning Problem—0
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units—0
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)—0
Reinforcement Learning for Joint Optimization of Multiple Rewards—0
A Reinforcement Learning Based Approach to Play Calling in Football—0
A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning—0
A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model—0
A reinforcement learning based construction material supply strategy using robotic crane and computer vision for building reconstruction after an earthquake—0
A Reinforcement Learning Based Controller to Minimize Forces on the Crutches of a Lower-Limb Exoskeleton—0
A reinforcement learning based decision support system in textile manufacturing process—0
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors—0
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline—0
A Reinforcement Learning-Based Framework for Solving Physical Design Routing Problem in the Absence of Large Test Sets—0
A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots—0
A Reinforcement Learning based Reset Policy for CDCL SAT Solvers—0
A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores—0
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation—0
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems—0
A Reinforcement Learning Engine with Reduced Action and State Space for Scalable Cyber-Physical Optimal Response—0
A Reinforcement Learning Environment for Polyhedral Optimizations—0
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler—0
A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability—0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—0
A Reinforcement Learning Framework for Online Speaker Diarization—0
A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario—0
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Benchmark Results

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