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 6401–6425 of 15113 papers

TitleStatusHype
DL-DRL: A double-level deep reinforcement learning approach for large-scale task scheduling of multi-UAV—0
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts—0
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment—0
Towards Augmented Microscopy with Reinforcement Learning-Enhanced WorkflowsCode0
Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents—0
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess—0
Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies—0
AACC: Asymmetric Actor-Critic in Contextual Reinforcement Learning—0
Deep VULMAN: A Deep Reinforcement Learning-Enabled Cyber Vulnerability Management Framework—0
A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN—0
Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G—0
Chemotaxis of sea urchin sperm cells through deep reinforcement learning—0
Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling—0
Smart caching in a Data Lake for High Energy Physics analysis—0
Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction ApproachCode0
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic—0
Retrieval of surgical phase transitions using reinforcement learning—0
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot—0
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning—0
A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning—0
Learning to generate Reliable Broadcast Algorithms—0
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination—0
Using Chatbots to Teach Languages—0
Solving the vehicle routing problem with deep reinforcement learning—0
Reinforcement learning with experience replay and adaptation of action dispersion—0
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Benchmark Results

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