StarCraft II Learning Environment
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Updated
May 2, 2024 - Python
StarCraft II Learning Environment
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
StarCraft II - pysc2 Deep Reinforcement Learning Examples
深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……
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
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
OpenAI Gym wrapper for the DeepMind Control Suite
Spriteworld: a flexible, configurable python-based reinforcement learning environment
🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym
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.
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
This's an implementation of deepmind Visual Interaction Networks paper using pytorch
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