Pinned Repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
GalaxyExplorer
Galaxy Explorer is the application Microsoft is building as part of the Share Your Idea campaign.
github-slideshow
A robot powered training repository :robot:
hololens_facial_recognition
A Unity hololens app to detect faces and display their attributes
MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
MRDL_Unity_Surfaces
Touchable surfaces for Hololens and Immersive headset
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
PARL
A high-performance distributed training framework for Reinforcement Learning
Icbyone's Repositories
Icbyone/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Icbyone/GalaxyExplorer
Galaxy Explorer is the application Microsoft is building as part of the Share Your Idea campaign.
Icbyone/github-slideshow
A robot powered training repository :robot:
Icbyone/hololens_facial_recognition
A Unity hololens app to detect faces and display their attributes
Icbyone/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Icbyone/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Icbyone/MRDL_Unity_Surfaces
Touchable surfaces for Hololens and Immersive headset
Icbyone/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Icbyone/PARL
A high-performance distributed training framework for Reinforcement Learning