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

Showing 65516600 of 15113 papers

TitleStatusHype
Deep Bellman Hedging0
Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach0
Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates0
Safe Reinforcement Learning for a Robot Being Pursued but with Objectives Covering More Than Capture-avoidance0
q-Learning in Continuous Time0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation0
Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration0
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning0
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings0
Partner Personas Generation for Dialogue Response Generation0
Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems0
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic0
Action-modulated midbrain dopamine activity arises from distributed control policies0
Interactive Query-Assisted Summarization via Deep Reinforcement LearningCode0
A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony0
Lifelong Inverse Reinforcement LearningCode0
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound0
Learning Natural Language Generation with Truncated Reinforcement LearningCode0
Deep Reinforcement Learning with Swin TransformersCode0
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles0
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning0
Performative Reinforcement Learning0
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization0
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference0
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement LearningCode0
Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations0
Dependency Parsing with Backtracking using Deep Reinforcement Learning0
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning0
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning SystemsCode0
Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network0
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting0
Spatial Positioning Token (SPToken) for Smart Parking0
Risk Perspective Exploration in Distributional Reinforcement Learning0
Masked World Models for Visual Control0
Low Emission Building Control with Zero-Shot Reinforcement LearningCode0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning0
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions0
Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing0
On the Complexity of Adversarial Decision Making0
Distinguishing Learning Rules with Brain Machine InterfacesCode0
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning0
Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines0
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System0
Improving Policy Optimization with Generalist-Specialist LearningCode0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches0
Analysis of Stochastic Processes through Replay Buffers0
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning0
Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-TatCode0
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning0
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation0
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Benchmark Results

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