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 4751–4775 of 15113 papers

TitleStatusHype
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
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Benchmark Results

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