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 4001–4050 of 15113 papers

TitleStatusHype
Accelerating the Computation of UCB and Related Indices for Reinforcement Learning—0
Accelerating the Learning of TAMER with Counterfactual Explanations—0
Accelerating Training in Pommerman with Imitation and Reinforcement Learning—0
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image—0
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning—0
Accidental exploration through value predictors—0
ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning—0
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning—0
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning—0
ACDER: Augmented Curiosity-Driven Experience Replay—0
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search—0
ACECODER: Acing Coder RL via Automated Test-Case Synthesis—0
A centralized reinforcement learning method for multi-agent job scheduling in Grid—0
ACERAC: Efficient reinforcement learning in fine time discretization—0
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy—0
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning—0
ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning—0
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning—0
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning—0
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device—0
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling—0
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach—0
A Closer Look at Reward Decomposition for High-Level Robotic Explanations—0
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning—0
A Coarse to Fine Question Answering System based on Reinforcement Learning—0
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers—0
A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition—0
A note on stabilizing reinforcement learning—0
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
A Comparative Analysis of Expected and Distributional Reinforcement Learning—0
A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection—0
A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis—0
A comparative evaluation of machine learning methods for robot navigation through human crowds—0
A Comparative Study of AI-based Intrusion Detection Techniques in Critical Infrastructures—0
A Comparative Study of Deep Reinforcement Learning for Crop Production Management—0
A Comparative Study of Reinforcement Learning Techniques on Dialogue Management—0
A Comparison of Action Spaces for Learning Manipulation Tasks—0
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control—0
A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies—0
A Comparison of learning algorithms on the Arcade Learning Environment—0
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts—0
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling—0
A Comparison of Self-Play Algorithms Under a Generalized Framework—0
A Complementary Learning Systems Approach to Temporal Difference Learning—0
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management—0
A Computational Framework for Motor Skill Acquisition—0
A Computational Model of Representation Learning in the Brain Cortex, Integrating Unsupervised and Reinforcement Learning—0
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review—0
A Concise Introduction to Reinforcement Learning in Robotics—0
Show:102550
← PrevPage 81 of 303Next →

Benchmark Results

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