hdadong
I am currently a graduate student at Beihang University. Research areas are safety reinforcement learning and model-based reinforcement learning.
Beihang UniversityBeijing
Pinned Repositories
Always-Learning
404 Not Found的知识库:计算机理论基础、计算机技术基础、底层研究、安全技术、安全研究、人工智能、企业安全建设、安全发展、职业规划、综合素质、国内外优秀技术人
AndMal-2020-preprocess
android_virus_GPU
awesome-federated-learning
resources about federated learning and privacy in machine learning
C-
sss
metadrive_saferl
simple_federated_learning
omnisafe
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
SafeDreamer
ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models
safety-gymnasium
NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
hdadong's Repositories
hdadong/Awesome-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
hdadong/awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
hdadong/DexterousHands
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
hdadong/dreamerv3-torch
Implementation of Dreamer v3 in pytorch.
hdadong/expressive-humanoid
RSS 2024: Expressive Whole-Body Control for Humanoid Robots
hdadong/extreme-parkour
Train your parkour robot in less than 20 hours.
hdadong/FedFed
[NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"
hdadong/HIMLoco
[arXiv 2023] Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response
hdadong/humanoid-gym
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
hdadong/humanplus
HumanPlus: Humanoid Shadowing and Imitation from Humans
hdadong/IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
hdadong/la-mbda
LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
hdadong/legged_gym
Isaac Gym Environments for Legged Robots
hdadong/metadrive
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
hdadong/MimicMotion
High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
hdadong/mppi-isaac
Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated
hdadong/OmniIsaacGymEnvs
Reinforcement Learning Environments for Omniverse Isaac Gym
hdadong/omnisafe
OmniSafe is a comprehensive and reliable benchmark for safe reinforcement learning.
hdadong/parkour
[CoRL 2023] Robot Parkour Learning
hdadong/pbrs-humanoid
hdadong/PHC
Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars
hdadong/PyBEAR
PyBEAR is the Python driver for BEAR series actuator from Westwood Robotics.
hdadong/rl_locomotion
Code for training locomotion policies with RL
hdadong/rliable
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
hdadong/Safe-Policy-Optimization
This is a benchmark repository for safe reinforcement learning algorithms
hdadong/saferl_kit
hdadong/safety-gym-1
hdadong/safety-gymnasium
Safety-Gymnaisum is a highly scalable and customizable safe reinforcement learning environment library.
hdadong/tdmpc2
Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"
hdadong/unitree_rl_gym