StarCraft II Learning Environment
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Updated
Jul 23, 2024 - Python
StarCraft II Learning Environment
StarCraft II - pysc2 Deep Reinforcement Learning Examples
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)
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
OpenAI Gym wrapper for the DeepMind Control Suite
Spriteworld: a flexible, configurable python-based reinforcement learning environment
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
Tensorflow Implementation of Visual Interaction Networks
PyTorch Implementation of Generative Query Network
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.
This's an implementation of deepmind Visual Interaction Networks paper using pytorch
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Multi-object image datasets with ground-truth segmentation masks and generative factors.
Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
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