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

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Showing 10951–11000 of 15113 papers

TitleStatusHype
Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks—0
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning—0
Reinforcement learning with human advice: a survey—0
Q-NAV: NAV Setting Method based on Reinforcement Learning in Underwater Wireless Networks—0
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension—0
Novel Policy Seeking with Constrained OptimizationCode0
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks—0
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm—0
Learning and Reasoning for Robot Dialog and Navigation Tasks—0
Deep Reinforcement Learning for High Level Character Control—0
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise—0
A reinforcement learning based decision support system in textile manufacturing process—0
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization—0
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments—0
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text—0
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning—0
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning—0
Privileged Information Dropout in Reinforcement Learning—0
Reinforcement Learning for Caching with Space-Time Popularity Dynamics—0
Optimal Charging Method for Effective Li-ion Battery Life Extension Based on Reinforcement Learning—0
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation—0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning—0
Learning Transferable Concepts in Deep Reinforcement Learning—0
A Simple Imitation Learning Method via Contrastive Regularization—0
A Distributional View on Multi-Objective Policy Optimization—0
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement LearningCode0
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network—0
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning—0
Probabilistic Guarantees for Safe Deep Reinforcement Learning—0
Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach—0
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics—0
From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning—0
Explainable Reinforcement Learning: A Survey—0
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning—0
Unbiased Deep Reinforcement Learning: A General Training Framework for Existing and Future Algorithms—0
A New Deep Neural Architecture Search Pipeline for Face Recognition—0
Deep Reinforcement Learning for Organ Localization in CT—0
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support—0
Reinforcement Learning Based on Real-Time Iteration NMPC—0
TOMA: Topological Map Abstraction for Reinforcement Learning—0
Maximizing Information Gain in Partially Observable Environments via Prediction Reward—0
Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem—0
Reinforcement Learning based Design of Linear Fixed Structure Controllers—0
A Reinforcement Learning based approach for Multi-target Detection in Massive MIMO radar—0
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems—0
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning—0
Reinforcement Learning for Thermostatically Controlled Loads Control using Modelica and Python—0
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking—0
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients—0
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Benchmark Results

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