YangRui2015

EmbodiedBench

Official repo of EmbodiedBench, a comprehensive benchmark designed to evaluate MLLMs as embodied agents.

2048_env

2048 environment for Reinforcement Learning and DQN algorithm

AWGCSL

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

Generalizable-Reward-Model

Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"

GOAT

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

Modular_HER

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

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"

RORL

Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"

Sparse-Reward-Algorithms

Implement many Sparse Reward algorithms in Gym Fetch environment

YangRui2015/Sparse-Reward-Algorithms

Implement many Sparse Reward algorithms in Gym Fetch environment

YangRui2015/RiC

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

YangRui2015/2048_env

2048 environment for Reinforcement Learning and DQN algorithm

YangRui2015/AWGCSL

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

YangRui2015/Generalizable-Reward-Model

Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"

YangRui2015/RORL

Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"

YangRui2015/Modular_HER

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

YangRui2015/RIQL

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

YangRui2015/GOAT

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

YangRui2015/Model-basedHER

Model-based Hindsight Experience Replay

YangRui2015/HERO

code for Combining Hindsight and Imagination in Multi-goal ReinforcementLearning

YangRui2015/UWMSG

YangRui2015/d3rlpy

An offline deep reinforcement learning library

YangRui2015/reward-bench

RewardBench: the first evaluation tool for reward models.

YangRui2015/rlkit_pro

Improving original rlkit forked from https://github.com/vitchyr/rlkit

YangRui2015/starter-academic

YangRui2015/yangrui2015.github.io

YangRui2015/COMP4901Y_Course_HKUST

Course Material for the UG Course COMP4901Y

YangRui2015/dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

YangRui2015/icml-nips-iclr-dataset

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

YangRui2015/Meta-Envs

Meta environments package for reinforcement learning

YangRui2015/minimalRL

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

YangRui2015/PPE

YangRui2015/rl-baselines-zoo

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

YangRui2015/rlkit

Collection of reinforcement learning algorithms

YangRui2015/sequential_social_dilemma_games

Repo for reproduction of sequential social dilemmas

YangRui2015/SocialRobot

YangRui2015/stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

YangRui2015/starter-hugo-academic

YangRui2015/YangRui2015

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