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 5251–5300 of 15113 papers

TitleStatusHype
Planning with RL and episodic-memory behavioral priors—0
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement LearningCode1
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial StatesCode0
Goal-Conditioned Generators of Deep PoliciesCode1
Safe Reinforcement Learning via Confidence-Based Filters—0
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse SkillsCode0
Deep Bellman Hedging—0
Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach—0
Stabilizing Off-Policy Deep Reinforcement Learning from PixelsCode1
USHER: Unbiased Sampling for Hindsight Experience ReplayCode0
Safe Reinforcement Learning for a Robot Being Pursued but with Objectives Covering More Than Capture-avoidance—0
Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates—0
q-Learning in Continuous Time—0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation—0
Partner Personas Generation for Dialogue Response Generation—0
Learning Natural Language Generation with Truncated Reinforcement LearningCode0
A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony—0
Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems—0
Interactive Query-Assisted Summarization via Deep Reinforcement LearningCode0
Action-modulated midbrain dopamine activity arises from distributed control policies—0
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic—0
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound—0
Lifelong Inverse Reinforcement LearningCode0
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings—0
Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration—0
Modular Lifelong Reinforcement Learning via Neural CompositionCode1
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning—0
On the Learning and Learnability of QuasimetricsCode1
Performative Reinforcement Learning—0
Denoised MDPs: Learning World Models Better Than the World ItselfCode1
Deep Reinforcement Learning with Swin TransformersCode0
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles—0
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning—0
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization—0
Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations—0
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement LearningCode0
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference—0
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting—0
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions—0
Short-Term Plasticity Neurons Learning to Learn and ForgetCode1
Masked World Models for Visual Control—0
Risk Perspective Exploration in Distributional Reinforcement Learning—0
Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing—0
Spatial Positioning Token (SPToken) for Smart Parking—0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning—0
Low Emission Building Control with Zero-Shot Reinforcement LearningCode0
Dependency Parsing with Backtracking using Deep Reinforcement Learning—0
Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network—0
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning SystemsCode0
DayDreamer: World Models for Physical Robot LearningCode2
Show:102550
← PrevPage 106 of 303Next →

Benchmark Results

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