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 2951–3000 of 15113 papers

TitleStatusHype
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and SmoothnessCode0
Motif: Intrinsic Motivation from Artificial Intelligence FeedbackCode1
Robust Offline Reinforcement Learning -- Certify the Confidence Interval—0
RLLTE: Long-Term Evolution Project of Reinforcement LearningCode2
Stackelberg Batch Policy Learning—0
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments—0
Efficiency Separation between RL Methods: Model-Free, Model-Based and Goal-Conditioned—0
Raijū: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems—0
Tempo Adaptation in Non-stationary Reinforcement LearningCode0
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement LearningCode2
Zero-Shot Reinforcement Learning from Low Quality DataCode1
PlotMap: Automated Layout Design for Building Game WorldsCode0
Recurrent Hypernetworks are Surprisingly Strong in Meta-RLCode1
A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies—0
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs—0
Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning—0
On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors—0
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds—0
Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagationCode1
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based RolloutCode0
Iterative Reachability Estimation for Safe Reinforcement Learning—0
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills—0
Reinforcement Learning for Robust Header Compression under Model Uncertainty—0
Offline to Online Learning for Real-Time Bandwidth Estimation—0
Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs—0
KuaiSim: A Comprehensive Simulator for Recommender SystemsCode1
Robotic Offline RL from Internet Videos via Value-Function Pre-Training—0
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps—0
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution—0
Delays in Reinforcement Learning—0
Text2Reward: Reward Shaping with Language Models for Reinforcement LearningCode2
Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward—0
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces—0
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence—0
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration—0
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving—0
Mechanic Maker 2.0: Reinforcement Learning for Evaluating Generated Rules—0
Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for People with Type 1 Diabetes: In-Silico Experiments—0
Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems—0
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning—0
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation—0
A Spiking Binary Neuron -- Detector of Causal Links—0
Reward Engineering for Generating Semi-structured ExplanationCode0
Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering—0
Physics-constrained robust learning of open-form partial differential equations from limited and noisy dataCode1
Physically Plausible Full-Body Hand-Object Interaction Synthesis—0
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning—0
VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement LearningCode1
Harnessing Deep Q-Learning for Enhanced Statistical Arbitrage in High-Frequency Trading: A Comprehensive Exploration—0
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning—0
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Benchmark Results

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