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 13201–13250 of 15113 papers

TitleStatusHype
Policy Certificates: Towards Accountable Reinforcement Learning—0
Baselines for Reinforcement Learning in Text Games—0
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search—0
Deep Reinforcement Learning via L-BFGS Optimization—0
Towards continual learning in medical imaging—0
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning—0
Deep Reinforcement Learning for Green Security Games with Real-Time Information—0
A Biologically Plausible Learning Rule for Deep Learning in the BrainCode0
Contingency-Aware Exploration in Reinforcement Learning—0
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder—0
Managing engineering systems with large state and action spaces through deep reinforcement learning—0
QUOTA: The Quantile Option Architecture for Reinforcement LearningCode0
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks—0
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting—0
Bayesian Action Decoder for Deep Multi-Agent Reinforcement LearningCode1
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning—0
VIREL: A Variational Inference Framework for Reinforcement LearningCode0
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
Shaping a social robot's humor with Natural Language Generation and socially-aware reinforcement learning—0
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation—0
Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning—0
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning—0
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform—0
Temporal Regularization in Markov Decision ProcessCode0
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning—0
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning—0
Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning—0
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous DrivingCode0
Exploration by Random Network DistillationCode1
Gated Hierarchical Attention for Image CaptioningCode1
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions ModelingCode1
Assessing Generalization in Deep Reinforcement LearningCode0
Model-Based Active ExplorationCode1
Social Vehicle Swarms: A Novel Perspective on Social-aware Vehicular Communication Architecture—0
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable FeedbackCode0
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach—0
Learn to Steer through Deep Reinforcement LearningCode0
Multi-Agent Common Knowledge Reinforcement LearningCode0
Neural Modular Control for Embodied Question AnsweringCode0
Transfer of Deep Reactive Policies for MDP PlanningCode0
Stability-certified reinforcement learning: A control-theoretic perspective—0
Empirical Evaluation of Contextual Policy Search with a Comparison-based Surrogate Model and Active Covariance Matrix Adaptation—0
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning—0
Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks—0
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions—0
Inverse reinforcement learning for video gamesCode0
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich TasksCode1
Learning Representations in Model-Free Hierarchical Reinforcement Learning—0
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Benchmark Results

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