SOTAVerified

Value prediction

Papers

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Showing 51–83 of 83 papers

TitleStatusHype
AutoDIME: Automatic Design of Interesting Multi-Agent Environments—0
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error—0
CoRGi: Content-Rich Graph Neural Networks with Attention—0
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model—0
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-EnsembleCode1
Why Should I Trust You, Bellman? Evaluating the Bellman Objective with Off-Policy Data—0
Understanding and Leveraging Overparameterization in Recursive Value Estimation—0
On the Estimation Bias in Double Q-LearningCode0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis—0
RCURRENCY: Live Digital Asset Trading Using a Recurrent Neural Network-based Forecasting System—0
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface—0
On the Optimality of Batch Policy Optimization Algorithms—0
Learning State Representations from Random Deep Action-conditional PredictionsCode0
The Value Equivalence Principle for Model-Based Reinforcement Learning—0
Rethinking Deep Policy Gradients via State-Wise Policy Improvement—0
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud DetectionCode1
timeXplain -- A Framework for Explaining the Predictions of Time Series ClassifiersCode0
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value PredictionCode1
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning—0
Spatial Action Maps for Mobile ManipulationCode1
Value-driven Hindsight Modelling—0
Using Contextual Information to Improve Blood Glucose Prediction—0
Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes—0
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree SearchCode0
A Closer Look at Deep Policy Gradients—0
Spatial Correlation and Value Prediction in Convolutional Neural Networks—0
Reliability and Sharpness in Border Crossing Traffic Interval Prediction—0
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement LearningCode0
Acquiring Background Knowledge to Improve Moral Value Prediction—0
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs—0
Value Prediction NetworkCode0
Customer Lifetime Value Prediction Using Embeddings—0
Avoiding Confusion between Predictors and Inhibitors in Value Function Approximation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DFSudMRR73.6—Unverified