nakamotoo
I am a PhD student in Computer Science at UC Berkeley. My research interests focus on deep reinforcement learning for robotics.
UC Berkeley
Pinned Repositories
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
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.
minibullet
pybullet_meshes
nakamotoo's Repositories
nakamotoo/Cal-QL
official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
nakamotoo/ecg-pytorch-sample
A PyTorch implementation for training deep learning models for 12-lead ECGs (2D-CNN, 1D-CNN, Transformer)
nakamotoo/dopamine
forked from https://github.com/google/dopamine
nakamotoo/minibullet
nakamotoo/pybullet_meshes
nakamotoo/3S_Hardware_Design
Homework of Verilog HDL
nakamotoo/batch_rl
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
nakamotoo/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
nakamotoo/echo-3D-sample
A PyTorch implementation for training 3D-CNN models for cardiac echocardiography.
nakamotoo/eeic-opencv-opengl
A course project using OpenCV and OpenGL.
nakamotoo/perceptron-pos-tagging
This is a work of Part-of-Speech tagging using averaged perceptron.
nakamotoo/D4RL
A collection of reference environments for offline reinforcement learning
nakamotoo/D4RL-fork
D4RL-fork
nakamotoo/eeic-ai-experiment
eeic人工知能演習2020 第二ターム
nakamotoo/eeic_experiment_I
Socket Programming in C
nakamotoo/genaug
main augmentation script for real world robot dataset.
nakamotoo/implicit_q_learning
nakamotoo/interbotix_ros_toolboxes
Support-level ROS Packages for Interbotix Robots
nakamotoo/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
nakamotoo/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.
nakamotoo/MCQ
Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
nakamotoo/mj_envs
A collection of MuJoCo based environments.
nakamotoo/Off2OnRL
nakamotoo/online-dt
Online Decision Transformer
nakamotoo/reversi-othelo-ai
A gam AI for playing Reversi (Othelo). Implemented the mini-max algorithm in C++.
nakamotoo/rlpd
nakamotoo/TwitterUI
I made a Twitter home UI as a training of HTML/CSS.