Stars
An elegant PyTorch deep reinforcement learning library.
High throughput synchronous and asynchronous reinforcement learning
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
GitHub's code repository is all you need
Minimal and Clean Reinforcement Learning Examples
Python Implementation of Reinforcement Learning: An Introduction
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Open-source code for VIPER -- Volume Invariant Position-based Elastic Rods
Deep Reinforcement Learning (PPO) applied to a Spiderman Swinging Environment
Real-time Position-Based Fluids in OpenCL, homework in Stanford's CS348C
Cloth Simulation by Position Based Dynamics + Unity Job System
Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0
CPU and GPU implementations of a particle-based physics simulation based on Macklin et. al's "Unified Particle Physics for Real-Time Application".
Godot Engine – Multi-platform 2D and 3D game engine


