StarCraft II Learning Environment
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Updated
May 2, 2024 - Python
StarCraft II Learning Environment
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
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym
Spriteworld: a flexible, configurable python-based reinforcement learning environment
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
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
Tensorflow Implementation of Visual Interaction Networks
Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
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