Structured Kernel|Based Reinforcement Learning

A Reinforcement Learning Based R-Tree for Spatial Data

... structure or query processing algorithms of traditional R-Tree. Specifically, we develop reinforcement learning (RL) based models to decide ...

Deep Reinforcement Learning: Definition, Algorithms & Uses

Let's dive in. Generative AI tool that turns a pitch deck into structured information from unstructured input ... In Model-based Reinforcement ...

The Ubiquity and Future of Model-based Reinforcement Learning

... structured learning-setup is pointing towards systems that humans can better understand. Some level of understanding how the system makes ...

Chapter 5 - Learning Structures Through Reinforcement

... based learning (see also Chapter 18 by Miller, Ludvig, ... Neural signature of hierarchically structured expectations predicts clustering and transfer of rule ...

Model-Based Reinforcement Learning for Protein Backbone Design

... structural scoring requirements. We extend an existing Monte Carlo tree search (MCTS) framework by incorporating a novel threshold-based ...

Machine learning - Wikipedia

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from ...

Adaptive Discretization for Model-Based Reinforcement Learning

... based algorithms; moreover, our bounds are obtained via a modular proof technique, which can potentially extend to incorporate additional structure on the ...

Object-based Reinforcement Learning | Towards Data Science

Contents. This article is structured as follows: Introduction to Reinforcement Learning,; Fundamental Limitations of RL,; Object-oriented Reinforcement Learning ...

Kernel-Based Reinforcement Learning

Reinforcement Learning is concerned with optimal control in Markov Decision Process (MDP) in cases where the transition model is unknown.

A Hybrid Structure-Based Machine Learning Approach for Predicting ...

In this study, we describe a computational approach to unlocking qualitative and quantitative kinome-wide binding measurements for structure-based machine ...

Journal of Machine Learning Research

Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity ... Functions with average smoothness: structure, ...

Reinforcement learning in crystal structure prediction - RSC Publishing

We show that reinforcement learning (RL) can generate a dynamic policy that both depends on the current structure and improves on the fly during the CSP run.

a Ternary Reward Structure for Reinforcement Learning Based ...

Learning based Question Answering ... We use these paths as a supervised signal for training the neural network before the reinforcement learning algorithm is ...

Interpretable Preference-based Reinforcement Learning with Tree ...

Using both synthetic and human-provided feedback, we demonstrate sample-efficient learning of tree-structured reward functions in several ...

Reinforcement Learning, Fast and Slow: Trends in Cognitive Sciences

... learning based on consistent structure in the task. Specifically, for each pair of objects, exactly one is consistently associated with ...

Learning the Structure of Bayesian Networks with Reinforcement ...

... based on skills and techniques honed by generations of learning. ... structure learning through combining reinforcement learning with ...

Machine‐learning scoring functions for structure‐based virtual ...

Machine-learning scoring functions are able to discover mid-nanomolar leads with novel chemical scaffolds directly from rescoring docked ...

A reinforcement learning approach for protein–ligand binding pose ...

In drug discoveries, protein–ligand docking is an important early step to finding potential drug candidates through structured-based drug design ...

Model-based reinforcement learning from pixels with structured ...

This work introduces SOLAR, a new model-based reinforcement learning (RL) method that can learn skills – including manipulation tasks on a real Sawyer robot ...

Hierarchical Reinforcement Learning (HRL) in AI - GeeksforGeeks

... Reinforcement Learning that incorporates a hierarchical structure into the learning process. ... based reinforcement learning. This article ...