gabrielplicks's Stars
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
astooke/rlpyt
Reinforcement Learning in PyTorch
AminHP/gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
kiwiz/gkeepapi
An unofficial client for the Google Keep API.
tomsilver/pddlgym
Convert a PDDL domain into an OpenAI Gym environment.
gregrahn/tpch-kit
TPC-H benchmark kit with some modifications/additions
linmagit/QueryBot5000
Query-based Workload Forecasting for Self-Driving DBMS
whitemech/LTLf2DFA
From LTLf / PPLTL to Deterministic Finite-state Automata (DFA)
whitemech/pythomata
A Python package for automata theory.
paulhendricks/gym-inventory
An OpenAI Gym environment for Inventory Control problems
2ndQuadrant/pg-tpch
PostgreSQL-compatible TPC-H benchmark, with wrapper scripts for populating data and evaluating performance
whitemech/lydia
A tool for LDLf translation to DFA and for LDLf synthesis.
whitemech/FOND4LTLf
FOND4LTLf translates an LTLf/PLTLf-FOND to standard FOND planning problems
abhisheknaik96/average-reward-methods
Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
marcofavorito/pdfa-learning
Implementation of PDFAs and PDFA learning algorithm.
whitemech/temprl
Reinforcement Learning framework for Temporal Goals
whitemech/logaut
LOGics formalisms to AUTomata
whitemech/pylogics
A Python library for logic formalisms representation and manipulation.
ramonpereira/paladinus
:mechanical_arm: :zap: Paladinus: An Iterative Depth-First Search FOND Planner.
rlai-lab/lab-links
Links to code and resources for the RLAI lab.
marcofavorito/yarllib
Yet Another Reinforcement Learning Library.
whitemech/whitemech.github.io
WhiteMech's website
ellamorgan/evolving-automata
Uses genetic programming to evolve finite automata given positive and negative examples of strings that do or do not match a target language.