nakamotoo Goto Github PK

3s_hardware_design

Homework of Verilog HDL

batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

cal-ql

official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

corl

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL

d4rl

A collection of reference environments for offline reinforcement learning

d4rl-fork

D4RL-fork

dopamine

forked from https://github.com/google/dopamine

ecg-pytorch-sample

A PyTorch implementation for training deep learning models for 12-lead ECGs (2D-CNN, 1D-CNN, Transformer)

echo-3d-sample

A PyTorch implementation for training 3D-CNN models for cardiac echocardiography.

eeic-ai-experiment

eeic人工知能演習2020 第二ターム

eeic-opencv-opengl

A course project using OpenCV and OpenGL.

eeic_experiment_i

Socket Programming in C

genaug

main augmentation script for real world robot dataset.

implicit_q_learning

interbotix_ros_toolboxes

Support-level ROS Packages for Interbotix Robots

jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

lifelong_rl

Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Reset-Free Lifelong Learning with Skill-Space Planning.

mcq

Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)

minibullet

mj_envs

A collection of MuJoCo based environments.

off2onrl

online-dt

Online Decision Transformer

perceptron-pos-tagging

This is a work of Part-of-Speech tagging using averaged perceptron.

pybullet_meshes

reversi-othelo-ai

A gam AI for playing Reversi (Othelo). Implemented the mini-max algorithm in C++.

rlpd

twitterui

I made a Twitter home UI as a training of HTML/CSS.