takuyahiraoka Goto Github PK
Name: Takuya Hiraoka
Type: User
Bio: A machine for turning coffee into buggy code
Location: Tokyo-3, Japan
Name: Takuya Hiraoka
Type: User
Bio: A machine for turning coffee into buggy code
Location: Tokyo-3, Japan
Source files to replicate experiments in my IWSDS 2016 paper.
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
An offline deep reinforcement learning library
A benchmark for offline reinforcement learning.
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Source files to replicate experiments in my IWSDS 2016 paper.
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Source files to replicate experiments in my ICLR 2022 paper.
Source files to replicate experiments in my Arxiv 2023 paper.
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
A Learning Environment for Theorem Proving
Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)
This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Source files to replicate experiments in my NeurIPS 2019 paper.
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
Library for Model Based RL
Source files to replicate experiments in my ACML 2021 paper.
An open source robotics benchmark for meta- and multi-task reinforcement learning
Code for MOPO: Model-based Offline Policy Optimization
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Simple maze environments using mujoco-py
Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.