Replication package for the paper "μPRL: a Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults" ICSE 2025.

Web pages for the Laboratory for Software Design

A toolkit for developing and comparing reinforcement learning algorithms.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

We propose a novel DL-based mutation technique (LEAM), which adapts the syntax-guided encoder-decoder architecture to build two sub-models based on AST information, for better learning to represent…

Play CartPole with DQN implemented with Tensorflow 2.0

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

BabyAI platform. A testbed for training agents to understand and execute language commands.

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

RAD: Reinforcement Learning with Augmented Data

A Gym style environment for Microsoft AirSim drone with functionality for running parallel experiments