luckeciano

ab-test-RL

Using reinforcement learning for AB test

BAL-PM

Deep Bayesian Active Learning for Preference Modeling in Large Language Models (NeurIPS 2024)

bumps

Code for the paper "Bottom-Up Meta-Policy Search", presented at NeurIPS Deep RL Workshop 2019

deep-rl-humanoid-motions-masters

Repository for code from the Master's Thesis "Imitation Learning and Meta-Reinforcement Learning for Optimizing Humanoid Robot Motions".

deep-rl-undergrad-thesis

A Deep Reinforcement Learning Method for Humanoid Kick Motion - Bachelor's Thesis

humanoid-run-ppo

Code for the paper "Learning Humanoid Robot Running Skills through Proximal Policy Optimization"

kaggle-eef-house-prediction

Code from some models used in First Place's solution of Kaggle Data Science Challenge for EEF for ITA/Unifesp SJC students.

ml-room

Implementations of machine learning algorithms from scratch.

neural-networks-generate-lyrics

LSTM-based model for generate music lyrics

transformers-metarl

Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022

luckeciano/transformers-metarl

Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022

luckeciano/deep-rl-humanoid-motions-masters

Repository for code from the Master's Thesis "Imitation Learning and Meta-Reinforcement Learning for Optimizing Humanoid Robot Motions".

luckeciano/BAL-PM

Deep Bayesian Active Learning for Preference Modeling in Large Language Models (NeurIPS 2024)

luckeciano/humanoid-run-ppo

Code for the paper "Learning Humanoid Robot Running Skills through Proximal Policy Optimization"

luckeciano/ml-room

Implementations of machine learning algorithms from scratch.

luckeciano/neural-networks-generate-lyrics

LSTM-based model for generate music lyrics

luckeciano/ab-test-RL

Using reinforcement learning for AB test

luckeciano/deep-rl-undergrad-thesis

A Deep Reinforcement Learning Method for Humanoid Kick Motion - Bachelor's Thesis

luckeciano/kaggle-eef-house-prediction

Code from some models used in First Place's solution of Kaggle Data Science Challenge for EEF for ITA/Unifesp SJC students.

luckeciano/bumps

Code for the paper "Bottom-Up Meta-Policy Search", presented at NeurIPS Deep RL Workshop 2019

luckeciano/distributed-tensorflow

training neural networks using distributed tensorflow

luckeciano/automata-to-regular-expression

Automata to Regular Expression Converter - Programming Assignment of "Automata Theory" course.

luckeciano/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

luckeciano/competitive-programming

My Solutions to UVA exercises from Competitive Programming 3 (Book).

luckeciano/cv

My CV

luckeciano/deep-rl-humanoid-kick

Repository for Research Work "A Deep Reinforcement Learning Method for Humanoid Kick"

luckeciano/discrete-structures-for-computing

Exercises for "Discrete Structures for Computing" course.

luckeciano/hackerrank

Solutions to HackerRank's exercises

luckeciano/ita-artificial-intelligence-PSO

Implementation of Particle Swarm Optimization for N-queens problem

luckeciano/kaggle-tensorflow-speech-recognition-challenge

Kaggle Tensorflow Speech Recognition Challenge

luckeciano/luckeciano.github.io

luckeciano/minesweeper-ruby

A simple implementation of minesweeper in Ruby

luckeciano/neural-architecture-search-mlp

A distributed MLP neural architecture search for TORQUE-based clusters

luckeciano/osim-rl

Reinforcement learning environments with musculoskeletal models

luckeciano/python-data-structures

Basic Python Data Structures.

luckeciano/ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

luckeciano/Research-Agile-Methods

1600 hours of research in agile for safety critical systems and agile at scale

luckeciano/rl-room

Implementation of RL algorithms from scratch.

luckeciano/software-engineering-assignments-ita

Programming Assignments and Tests from "Software Engineering" course - ITA.

luckeciano/TD-VCL

Temporal-Difference Variational Continual Learning