Search Results

Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code

1 code implementation25 Jan 2017

Program transformation systems require the definition of efficient transformation strategies to tackle the combinatorial problem that emerges due to the large set of transformations applicable at each step of the process.

mlpack 3: a fast, flexible machine learning library

1 code implementation Journal of Open Source Software 2018

In the past several years, the field of machine learning has seen an explosion of interest and excitement, with hundreds or thousands of algorithms developed for different tasks every year.

Benchmarking BIG-bench Machine Learning +1

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

1 code implementation25 May 2021

In addition to its large scale, CodeNet has a rich set of high-quality annotations to benchmark and help accelerate research in AI techniques for a variety of critical coding tasks, including code similarity and classification, code translation between a large variety of programming languages, and code performance (runtime and memory) improvement techniques.

BIG-bench Machine Learning Code Classification +1

Natural Language Specification of Reinforcement Learning Policies through Differentiable Decision Trees

1 code implementation18 Jan 2021

Human-AI policy specification is a novel procedure we define in which humans can collaboratively warm-start a robot's reinforcement learning policy.

BIG-bench Machine Learning reinforcement-learning +1

Betty: An Automatic Differentiation Library for Multilevel Optimization

1 code implementation5 Jul 2022

Gradient-based multilevel optimization (MLO) has gained attention as a framework for studying numerous problems, ranging from hyperparameter optimization and meta-learning to neural architecture search and reinforcement learning.

Hyperparameter Optimization Meta-Learning +1

Financial Trading as a Game: A Deep Reinforcement Learning Approach

1 code implementation8 Jul 2018

We propose several modifications to the existing learning algorithm to make it more suitable under the financial trading setting, namely 1.

reinforcement-learning Reinforcement Learning (RL)

Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework

1 code implementation NeurIPS 2020

This paper develops a Pontryagin Differentiable Programming (PDP) methodology, which establishes a unified framework to solve a broad class of learning and control tasks.

Mastering 2048 with Delayed Temporal Coherence Learning, Multi-Stage Weight Promotion, Redundant Encoding and Carousel Shaping

4 code implementations18 Apr 2016

With the aim to develop a strong 2048 playing program, we employ temporal difference learning with systematic n-tuple networks.

Playing the Game of 2048

MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning

1 code implementation4 Oct 2018

In addition, this article discusses how MyCaffe closely follows the C++ Caffe, while talking efficiently to the low level NVIDIA CUDA hardware to offer a high performance, highly programmable deep learning system for Windows . NET programmers.

reinforcement-learning Reinforcement Learning (RL)

InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback

1 code implementation NeurIPS 2023

Our framework is language and platform agnostic, uses self-contained Docker environments to provide safe and reproducible execution, and is compatible out-of-the-box with traditional seq2seq coding methods, while enabling the development of new methods for interactive code generation.

Benchmarking Code Generation +1