alex-petrenko
Research Scientist at Apple. Computer science PhD from the University of Southern California. Interests: Deep Reinforcement Learning & Simulation
@uscresl Mountain View, USA
Pinned Repositories
4dvideo
Capturing volumetric videos with Google Tango, RealSense R200 and Delaunay triangulation
curious-rl
Curiosity-driven Exploration by Self-supervised Prediction
faster-fifo
Faster alternative to Python's multiprocessing.Queue (IPC FIFO queue)
landmark-exploration
Attempt to develop a new RL algorithm for hard exploration problems
megaverse
High-throughput simulation platform for Artificial Intelligence reseach
microtbs-rl
Training reinforcement learning agents to beat a simple turn-based strategy game
quad-swarm-rl
Reinforcement learning for quadrotor swarms
sample-factory
High throughput synchronous and asynchronous reinforcement learning
signal-slot
Qt-like event loops, signals and slots for communication across threads and processes in Python
udacity-deep-learning
Python code written along the course.
alex-petrenko's Repositories
alex-petrenko/sample-factory
High throughput synchronous and asynchronous reinforcement learning
alex-petrenko/megaverse
High-throughput simulation platform for Artificial Intelligence reseach
alex-petrenko/faster-fifo
Faster alternative to Python's multiprocessing.Queue (IPC FIFO queue)
alex-petrenko/curious-rl
Curiosity-driven Exploration by Self-supervised Prediction
alex-petrenko/signal-slot
Qt-like event loops, signals and slots for communication across threads and processes in Python
alex-petrenko/microtbs-rl
Training reinforcement learning agents to beat a simple turn-based strategy game
alex-petrenko/landmark-exploration
Attempt to develop a new RL algorithm for hard exploration problems
alex-petrenko/quad-swarm-rl
Reinforcement learning for quadrotor swarms
alex-petrenko/animations
Manim animations for various projects
alex-petrenko/seed_rl
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
alex-petrenko/snake-rl
Monte-Carlo rollout into the future predicted by DNN
alex-petrenko/ViZDoom
Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. :godmode:
alex-petrenko/alex-petrenko.github.io
Personal website
alex-petrenko/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
alex-petrenko/tf-reinforce
Tensorflow implementation of the REINFORCE policy gradient algorithm
alex-petrenko/useful-stuff-i-always-forget
Miscellaneous stuff
alex-petrenko/vizdoomgym
Vizdoom wrapper for OpenAI gym
alex-petrenko/alex-petrenko
GitHub profile
alex-petrenko/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
alex-petrenko/Difficulty-Aware-MT-Evaluation
Difficulty-Aware Machine Translation Evaluation (ACL 2021)
alex-petrenko/flightmare
An Open Flexible Quadrotor Simulator
alex-petrenko/magnum
Lightweight and modular C++11/C++14 graphics middleware for games and data visualization
alex-petrenko/quad_sim2multireal
Repository for IROS 2019
alex-petrenko/ray
A system for parallel and distributed Python that unifies the ML ecosystem.
alex-petrenko/rl_games
RL implementations
alex-petrenko/rlpyt
Reinforcement Learning in PyTorch
alex-petrenko/scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
alex-petrenko/sf_assets
Some assets for the other repos to minimize the size of the actual repos people clone
alex-petrenko/tensorflow
Computation using data flow graphs for scalable machine learning
alex-petrenko/v4r