Rui's Projects
2048 environment for Reinforcement Learning and DQN algorithm
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
Course Material for the UG Course COMP4901Y
An offline deep reinforcement learning library
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
OpenAI Gym wrapper for the DeepMind Control Suite
Code for the ICML 2023 paper "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?".
谷歌访问助手破解版
A toolkit for developing and comparing reinforcement learning algorithms.
code for Combining Hindsight and Imagination in Multi-goal ReinforcementLearning
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021
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
兴趣团队微信小程序后端,用于后来者参考和改进
兴趣团队微信小程序前端,可供后来者参考和改进
Meta environments package for reinforcement learning
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Model-based Hindsight Experience Replay
Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.
pics for markdown url
A WeChat applet using image process tech and AI method.
add test function and my trained models to the original codes of random-network-distillation of openai
RewardBench: the first evaluation tool for reward models.
Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"
Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL