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 3551–3600 of 15113 papers

TitleStatusHype
Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers—0
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning—0
Offline Reinforcement Learning for Learning to Dispatch for Job Shop SchedulingCode0
KAN v.s. MLP for Offline Reinforcement Learning—0
Mitigating Dimensionality in 2D Rectangle Packing Problem under Reinforcement Learning Schema—0
PIP-Loco: A Proprioceptive Infinite Horizon Planning Framework for Quadrupedal Robot Locomotion—0
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits—0
Quasimetric Value Functions with Dense Rewards—0
Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks—0
CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks—0
Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning—0
Digital Twin for Autonomous Guided Vehicles based on Integrated Sensing and Communications—0
Optimal Management of Grid-Interactive Efficient Buildings via Safe Reinforcement Learning—0
Hand-Object Interaction Pretraining from Videos—0
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search StrategiesCode0
Learning Efficient Recursive Numeral Systems via Reinforcement Learning—0
Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence—0
The Role of Deep Learning Regularizations on Actors in Offline RLCode0
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement LearningCode0
Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout—0
Automated Data Augmentation for Few-Shot Time Series Forecasting: A Reinforcement Learning Approach Guided by a Model Zoo—0
BAMDP Shaping: a Unified Theoretical Framework for Intrinsic Motivation and Reward Shaping—0
Markov Chain Variance Estimation: A Stochastic Approximation Approach—0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
Semifactual Explanations for Reinforcement LearningCode0
An Introduction to Quantum Reinforcement Learning (QRL)—0
BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design—0
Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions—0
Reinforcement Learning-Based Adaptive Load Balancing for Dynamic Cloud Environments—0
Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework—0
Reward-Directed Score-Based Diffusion Models via q-Learning—0
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy ChurnCode0
Causality-Driven Reinforcement Learning for Joint Communication and Sensing—0
Reinforcement Learning for Rate Maximization in IRS-aided OWC Networks—0
Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization—0
Differentiable Discrete Event Simulation for Queuing Network Control—0
ELO-Rated Sequence Rewards: Advancing Reinforcement Learning ModelsCode0
Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection—0
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning—0
Robust synchronization and policy adaptation for networked heterogeneous agents—0
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience RehearsalCode0
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning—0
Enhancing Information Freshness: An AoI Optimized Markov Decision Process Dedicated In the Underwater Task—0
Tractable Offline Learning of Regular Decision Processes—0
State and Action Factorization in Power Grids—0
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications—0
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement LearningCode0
Grounding Language Models in Autonomous Loco-manipulation Tasks—0
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planningCode0
Show:102550
← PrevPage 72 of 303Next →

Benchmark Results

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