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 4701–4725 of 15113 papers

TitleStatusHype
Quantum Adiabatic Algorithm Design using Reinforcement Learning—0
Reinforcement Learning Architectures: SAC, TAC, and ESAC—0
Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling—0
Reinforcement Learning as Iterative and Amortised Inference—0
Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks—0
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities—0
Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care—0
Reinforcement learning-assisted quantum architecture search for variational quantum algorithms—0
Reinforcement Learning Based Adaptive WalkingAssistance Control of a Lower Limb Exoskeleton—0
Reinforcement Learning-Based Adaptive Load Balancing for Dynamic Cloud Environments—0
Adaptive Optimal Control for Reference Tracking Independent of Exo-System Dynamics—0
Reinforcement learning-based adaptive speed controllers in mixed autonomy condition—0
Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems—0
Reinforcement Learning based Air Combat Maneuver Generation—0
Reinforcement Learning-Based Air Traffic Deconfliction—0
Reinforcement Learning Based Algorithm for the Maximization of EV Charging Station Revenue—0
Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems—0
Reinforcement Learning Based Argument Component Detection—0
Reinforcement Learning Based Asymmetrical DNN Modularization for Optimal Loading—0
Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization—0
Reinforcement Learning-based Automatic Diagnosis of Acute Appendicitis in Abdominal CT—0
Reinforcement Learning-based Application Autoscaling in the Cloud: A Survey—0
A Reinforcement Learning based approach for Multi-target Detection in Massive MIMO radar—0
Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets—0
Reinforcement Learning-Based Bionic Reflex Control for Anthropomorphic Robotic Grasping exploiting Domain Randomization—0
Show:102550
← PrevPage 189 of 605Next →

Benchmark Results

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