batu

Pinned Repositories

2Frames
Language:C#00
5JPreProduction
Language:JavaScript00
batu.github.io
githubpages
Language:CSS00
BerkeleyDeepRLAssignments
Language:Python0 2 00
GenerativeArt
Art created using code and math in Unity3D.
Language:C#3 2 01
Mashups
Creating with Web APIs
Language:JavaScript10
PerformanceProbe
A python project that monitors django performances
Language:Python10
RLAgency
Language:C#10
RLNav
Repository that contains:
00
Talin
Talin: A Better Way to build tutorials [Unity Asset]
Language:C#61

batu's Repositories

batu/Talin
Talin: A Better Way to build tutorials [Unity Asset]
Language:C#61
batu/GenerativeArt
Art created using code and math in Unity3D.
Language:C#3 2 01
batu/RLAgency
Language:C#10
batu/5JPreProduction
Language:JavaScript00
batu/batu.github.io
githubpages
Language:CSS00
batu/BerkeleyDeepRLAssignments
Language:Python0 2 00
batu/RLNav
Repository that contains:
00
batu/BizhawkEmulatorReinforcementLearning
Language:Python
batu/ExperimentalGameDesign
Language:C#
batu/GeneralizedExecutionPlanner
Language:Python
batu/gitignore
A collection of useful .gitignore templates
batu/incubator
Collection of in-progress libraries for entity neural networks.
batu/LudumDare01
Language:ASP
batu/MagicVSMetal
batu/ml-agents
Unity Machine Learning Agents Toolkit
Language:C#
batu/MyUnityGitExample
Hello, this is my useful description.
batu/NavAssist
Advances in reinforcement learning have resulted in breakthroughs for algorithmic gameplay without yielding direct impact on the player experience. However, recent work has shown how to use game playing agents to directly power player assistance modes that improve the player experience. One avenue ripe for assist-mode support is 3D player navigation. For this support to be effective, we need both robust agents and also well-designed assistance methods. This need for an interdisciplinary approach makes it difficult for more specialized researchers to make progress in this new area. In this paper, we contribute the open-source \textit{NavAssist} research pipeline to bridge the gap between different disciplinary groups. We contribute several building blocks: (a) for reinforcement learning researchers, five OpenAI Gym compatible navigation environments to train more effective agents; (b) for game designers, a Unity game project and the pre-trained models to implement new AI-driven assistance methods; (c) and for human-computer interaction researchers, a set of example assistance methods powered by pre-trained models to investigate and evaluate the effects of those assistance methods.
Language:ASP.NET
batu/NavigationEnvironments
A series of Unity executeables that contain navigation challenges.
Language:ASP.NET1
batu/ProjNar
Language:C#
batu/RL_Implementations
Repo that implements RL algorithms.
Language:Python
batu/rlpyt
Reinforcement Learning in PyTorch
batu/snapshots
Language:Python
batu/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Language:Python2 0
batu/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Language:Python
batu/tensorflow
An Open Source Machine Learning Framework for Everyone
batu/tensorforce
TensorForce: A TensorFlow library for applied reinforcement learning
Language:Python
batu/TheForge
Weekly small creations.
Language:C#
batu/UnityRougeLikeMachineLearningTutorial
Language:C#2 01
batu/UnitySteeringBehavior
Language:Jupyter Notebook
batu/Winter2019
Language:Jupyter Notebook