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 9001–9050 of 15113 papers

TitleStatusHype
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease—0
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease—0
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting—0
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting—0
Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks—0
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting—0
Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception—0
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation—0
Reinforcement learning-based estimation for partial differential equations—0
Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation—0
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning—0
Reinforcement Learning-Based Heterogeneous Multi-Task Optimization in Semantic Broadcast Communications—0
Reinforcement Learning-based Joint Handover and Beam Tracking in Millimeter-wave Networks—0
Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles—0
Reinforcement Learning-based Knowledge Graph Reasoning for Explainable Fact-checking—0
Reinforcement learning based local search for grouping problems: A case study on graph coloring—0
Reinforcement Learning based Multi-connectivity Resource Allocation in Factory Automation Systems—0
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction—0
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics—0
Reinforcement Learning Based on Real-Time Iteration NMPC—0
Reinforcement Learning based on Scenario-tree MPC for ASVs—0
Reinforcement Learning Based Optimal Camera Placement for Depth Observation of Indoor Scenes—0
Deterministic policy gradient based optimal control with probabilistic constraints—0
Reinforcement Learning-based Optimal Control and Software Rejuvenation for Safe and Efficient UAV Navigation—0
Reinforcement learning-based optimised control for tracking of nonlinear systems with adversarial attacks—0
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test—0
Reinforcement learning based parameters adaption method for particle swarm optimization—0
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation—0
Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems—0
Reinforcement Learning-Based Policy Optimisation For Heterogeneous Radio Access—0
Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control—0
Reinforcement Learning Based Prediction of PID Controller Gains for Quadrotor UAVs—0
Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire—0
Reinforcement Learning-based Product Delivery Frequency Control—0
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching—0
Reinforcement Learning based Recommender System using Biclustering Technique—0
Reinforcement learning based recommender systems: A survey—0
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling—0
Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul—0
Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving—0
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment—0
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design—0
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models—0
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition—0
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus—0
Reinforcement Learning-based Thermal Comfort Control for Vehicle Cabins—0
Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations—0
Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration—0
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems—0
Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication—0
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Benchmark Results

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