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 8951–8975 of 15113 papers

TitleStatusHype
Reinforcement Learning Applications—0
Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice—0
Reinforcement Learning applied to Single Neuron—0
Reinforcement Learning Applied to Trading Systems: A Survey—0
Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates—0
Reinforcement Learning Approaches in Social Robotics—0
Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms—0
Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs—0
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems—0
Reinforcement Learning approach for Real Time Strategy Games Battle city and S3—0
Reinforcement learning approach for resource allocation in humanitarian logistics—0
Reinforcement Learning Approach to Active Learning for Image Classification—0
Reinforcement Learning Approach to Estimation in Linear Systems—0
Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection—0
Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive Systems—0
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
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Benchmark Results

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