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 2651–2700 of 15113 papers

TitleStatusHype
Adaptive Learning Rates for Multi-Agent Reinforcement Learning—0
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning—0
Automating Privilege Escalation with Deep Reinforcement Learning—0
Automating Predictive Modeling Process using Reinforcement Learning—0
Automating Control of Overestimation Bias for Reinforcement Learning—0
Alpha-divergence bridges maximum likelihood and reinforcement learning in neural sequence generation—0
Cross-Domain Transfer in Reinforcement Learning using Target Apprentice—0
Cross-Embodiment Dexterous Grasping with Reinforcement Learning—0
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents—0
Alpha-DAG: a reinforcement learning based algorithm to learn Directed Acyclic Graphs—0
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning—0
AlphaD3M: Machine Learning Pipeline Synthesis—0
Adaptive Learning of Design Strategies over Non-Hierarchical Multi-Fidelity Models via Policy Alignment—0
Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy—0
Automatic Text Summarization Using Reinforcement Learning with Embedding Features—0
Adaptive learning for financial markets mixing model-based and model-free RL for volatility targeting—0
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey—0
Automatic Source Code Summarization via Reinforcement Learning—0
CROPS: A Deployable Crop Management System Over All Possible State Availabilities—0
Cross-Domain Perceptual Reward Functions—0
Automatic Risk Adaptation in Distributional Reinforcement Learning—0
Automatic Representation for Lifetime Value Recommender Systems—0
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning—0
Learning to Rewrite Prompts for Personalized Text Generation—0
Automatic Poetry Generation with Mutual Reinforcement Learning—0
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning—0
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning—0
Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning—0
A Local Temporal Difference Code for Distributional Reinforcement Learning—0
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar—0
Automatic low-bit hybrid quantization of neural networks through meta learning—0
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition—0
Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes—0
An Empirical Study on Hyperparameters and their Interdependence for RL Generalization—0
CrossNorm: On Normalization for Off-Policy Reinforcement Learning—0
CubeTR: Learning to Solve the Rubik's Cube using Transformers—0
DanZero: Mastering GuanDan Game with Reinforcement Learning—0
Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition—0
Centerline Depth World Reinforcement Learning-based Left Atrial Appendage Orifice Localization—0
Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing—0
Automatic Goal Generation using Dynamical Distance Learning—0
Automatic Goal Generation using Dynamical Distance Learning—0
Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes—0
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search—0
Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning—0
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning—0
A Closer Look at Reward Decomposition for High-Level Robotic Explanations—0
Automatic Face Aging in Videos via Deep Reinforcement Learning—0
Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction—0
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning—0
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Benchmark Results

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