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 10451–10475 of 15113 papers

TitleStatusHype
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation—0
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach—0
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models—0
Online 3D Bin Packing Reinforcement Learning Solution with Buffer—0
Online Adaptation of Deep Architectures with Reinforcement Learning—0
Online Adaptive Optimal Control Algorithm Based on Synchronous Integral Reinforcement Learning With Explorations—0
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches—0
Online Antenna Tuning in Heterogeneous Cellular Networks with Deep Reinforcement Learning—0
Online Attentive Kernel-Based Temporal Difference Learning—0
Online Behavior Modification for Expressive User Control of RL-Trained Robots—0
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning—0
On-line Building Energy Optimization using Deep Reinforcement Learning—0
Online Constrained Model-based Reinforcement Learning—0
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data—0
Online Data Poisoning Attack—0
Online Data Poisoning Attacks—0
Online Decision Based Visual Tracking via Reinforcement Learning—0
Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence—0
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments—0
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback—0
Online Iterative Self-Alignment for Radiology Report Generation—0
Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar—0
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing—0
Online Learning for Stochastic Shortest Path Model via Posterior Sampling—0
Online Linear Regression and Its Application to Model-Based Reinforcement Learning—0
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Benchmark Results

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