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 7401–7425 of 15113 papers

TitleStatusHype
skrl: Modular and Flexible Library for Reinforcement Learning—0
Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks—0
Provable Reinforcement Learning with a Short-Term Memory—0
Reward-Respecting Subtasks for Model-Based Reinforcement Learning—0
Optimizing Warfarin Dosing using Deep Reinforcement LearningCode0
Model-Based Offline Meta-Reinforcement Learning with Regularization—0
Policy Optimization for Stochastic Shortest Path—0
Attacking c-MARL More Effectively: A Data Driven Approach—0
Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning—0
Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning—0
Reinforcement learning for multi-item retrieval in the puzzle-based storage systemCode0
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning—0
Meta-Reinforcement Learning with Self-Modifying Networks—0
A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario—0
Offline Reinforcement Learning for Mobile Notifications—0
Model-Free Reinforcement Learning for Symbolic Automata-encoded Objectives—0
Malleable Agents for Re-Configurable Robotic Manipulators—0
Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model—0
Reward is not enough: can we liberate AI from the reinforcement learning paradigm?—0
Security-Aware Virtual Network Embedding Algorithm based on Reinforcement Learning—0
Network Resource Allocation Strategy Based on Deep Reinforcement Learning—0
Financial Vision Based Reinforcement Learning Trading Strategy—0
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving—0
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT—0
How to Leverage Unlabeled Data in Offline Reinforcement Learning—0
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Benchmark Results

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