unity-environment
There are 25 repositories under unity-environment topic.
dhyeythumar/PPO-algo-with-custom-Unity-environment
Implementation of Proximal Policy Optimization algorithm on a custom Unity environment.
telmo-correa/DRLND-project-3
Implementation of project 3 for Udacity's Deep Reinforcement Learning Nanodegree
eljandoubi/MADDPG-for-Collaboration-and-Competition
An implementation of MADDPG multi-agent to solve a Unity environment like Tennis and Soccer.
iRebbok/DSharp4Webhook
An unofficial library for interacting with Discord Webhook aimed at use in the Unity environment
Sardhendu/DeepRL
Deep Reinforcement Learning Projects
ShivankYadav/BananaPicker-Navigation
We train an agent to manuver in a 3-D environment avoiding blue bananas and picking yellow ones as fast as possible.
telmo-correa/DRLND-project-2
Implementation of project 2 for Udacity's Deep Reinforcement Learning Nanodegree
kylexu/drlnd-p2-Continuous_Control
This is the 2nd project in Udacity DRLND, which is practice for training an agent that controls a robotic arm in Unity's Reacher environment using the Deep Deterministic Policy Gradients (DDPG) algorithm.
mrdvince/collaboration_competition
Collaboration and Competition (using multi agent reinforcement learning). Train a pair of agents to play tennis.
SIakovlev/Collaboration-and-Competition
Multiagent RL
silviomori/udacity-deep-reinforcement-learning-p2-continuous-control
Create and train a double-jointed arm agent that is able to maintain its hand in contact with a moving target
telmo-correa/DRLND-project-1
Implementation of project 1 for Udacity's Deep Reinforcement Learning Nanodegree
eljandoubi/DDPG-for-continuous-control
An implementation of DDPG agent to solve a Unity environment like Reacher and Crawler.
eljandoubi/DQN-for-navigation
An implementation of Deep Q-Learning Network for solving a Unity environment that can navigate and collect bananas in a large, square world.
jaehosung/ml-agent-Unity
Reinforcement Learning using Unity ML - Agents
jezzarax/drlnd_p2_continuous
Solution of a first project of the deep reinforcement learning nanodegree at Udacity.
jigor/DRLND_Project2_Continuous_Control
Solving Reacher environment using deep reinforcement learning
whitebat-96/Unity_Game-BOXRUNNER
This is a game developed in unity to understand the basics of unity environment.
1jsingh/rl_reacher
Train double-jointed arms to reach target locations using Proximal Policy Optimization (PPO) in Pytorch
1jsingh/rl_tennis
Training a pair of competing RL agents to play Tennis using MADDPG algorithm
henry32144/drlnd-continuous-control
Training an agent to perform continuous task
KalyanKumarPichuka/drlnd_navigation
Deep reinforcement Learning Nanodegree - Navigation Project
mrdvince/continuous_control
Using Deep Deterministic Policy Gradient(DDPG) to train a robotic arm to reach target locations, simulated on a unity environment