StarCraft II Learning Environment
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Updated
Jul 23, 2024 - Python
StarCraft II Learning Environment
Open-source implementation of AlphaEvolve
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
Spriteworld: a flexible, configurable python-based reinforcement learning environment
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
Multi-object image datasets with ground-truth segmentation masks and generative factors.
An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
OpenAI Gym wrapper for the DeepMind Control Suite
This's an implementation of deepmind Visual Interaction Networks paper using pytorch
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
PyTorch Implementation of Generative Query Network
Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
Tensorflow Implementation of Visual Interaction Networks
Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
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