yangrui2015 Goto Github PK

2048_env

2048 environment for Reinforcement Learning and DQN algorithm

a2c

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

awgcsl

Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.

citylearn

comp4901y_course_hkust

Course Material for the UG Course COMP4901Y

d3rlpy

An offline deep reinforcement learning library

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

goat

Code for the ICML 2023 paper "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?".

google-access-helper

谷歌访问助手破解版

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hero

code for Combining Hindsight and Imagination in Multi-goal ReinforcementLearning

hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

icml-nips-iclr-dataset

Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021

image

image_test

iterm2-color-schemes

Over 200 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal

ivision_server

兴趣团队微信小程序后端，用于后来者参考和改进

ivision_weichat_applet

兴趣团队微信小程序前端，可供后来者参考和改进

meta-envs

Meta environments package for reinforcement learning

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

model-basedher

Model-based Hindsight Experience Replay

modular_her

Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.

pics

pics for markdown url

picture-cloud-factory-master

A WeChat applet using image process tech and AI method.

random-network-distillation_complete

add test function and my trained models to the original codes of random-network-distillation of openai

ric

Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"

riql

Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.