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 2976–3000 of 15113 papers

TitleStatusHype
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