Stars
DrQ-v2: Improved Data-Augmented Reinforcement Learning
Simple, easy-to-use implementations of Reinforcement Learning (RL) algorithms.
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
A curated list of awesome Deep Reinforcement Learning resources.
Contains Company Wise Questions sorted based on Frequency and all time
Self-study on Larry Wasserman's "All of Statistics"
STUMPY is a powerful and scalable Python library for modern time series analysis
PIX is an image processing library in JAX, for JAX.
Libraries, tools and tasks created and used at DeepMind Robotics.
Massively parallel rigidbody physics simulation on accelerator hardware.
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
A PyTorch Platform for Distributed RL
Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
tree is a library for working with nested data structures
Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"