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 13301–13350 of 15113 papers

TitleStatusHype
Navigating Assistance System for Quadcopter with Deep Reinforcement Learning—0
Learning data augmentation policies using augmented random searchCode0
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning—0
Learning Temporal Point Processes via Reinforcement Learning—0
Importance Weighted Evolution Strategies—0
An initial attempt of combining visual selective attention with deep reinforcement learning—0
An Optimal Control View of Adversarial Machine Learning—0
Product Title Refinement via Multi-Modal Generative Adversarial Learning—0
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining—0
Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning—0
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition—0
Diversity-Driven Extensible Hierarchical Reinforcement LearningCode0
Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning—0
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image ProcessingCode0
A Hierarchical Framework for Relation Extraction with Reinforcement LearningCode0
Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous IntegrationCode0
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment KnowledgeCode0
Meta-Learning for Multi-objective Reinforcement Learning—0
Modular Architecture for StarCraft II with Deep Reinforcement Learning—0
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning—0
Baselines for Reinforcement Learning in Text Games—0
Policy Certificates: Towards Accountable Reinforcement Learning—0
Towards continual learning in medical imaging—0
Deep Reinforcement Learning via L-BFGS Optimization—0
Deep Reinforcement Learning for Green Security Games with Real-Time Information—0
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search—0
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning—0
Contingency-Aware Exploration in Reinforcement Learning—0
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder—0
A Biologically Plausible Learning Rule for Deep Learning in the BrainCode0
Managing engineering systems with large state and action spaces through deep reinforcement learning—0
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks—0
QUOTA: The Quantile Option Architecture for Reinforcement LearningCode0
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting—0
VIREL: A Variational Inference Framework for Reinforcement LearningCode0
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning—0
Sequence Generation with Guider Network—0
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement Learning—0
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning—0
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform—0
Shaping a social robot's humor with Natural Language Generation and socially-aware reinforcement learning—0
Temporal Regularization in Markov Decision ProcessCode0
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation—0
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning—0
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning—0
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous DrivingCode0
Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning—0
Social Vehicle Swarms: A Novel Perspective on Social-aware Vehicular Communication Architecture—0
Show:102550
← PrevPage 267 of 303Next →

Benchmark Results

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