hdadong

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/extreme-parkour

Train your parkour robot in less than 20 hours.

hdadong/rliable

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

hdadong/metadrive

MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

hdadong/PyBEAR

PyBEAR is the Python driver for BEAR series actuator from Westwood Robotics.

hdadong/OmniIsaacGymEnvs

Reinforcement Learning Environments for Omniverse Isaac Gym

hdadong/saferl_kit

hdadong/IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

hdadong/rl_locomotion

Code for training locomotion policies with RL

hdadong/SafeBench

A Benchmark for Evaluating Autonomous Vehicles in Safety-critical Scenarios

hdadong/Safe-panda-gym

OpenaAI Gym Franka Emika Panda robot environment based on PyBullet.

hdadong/ASE

hdadong/homegrid

A minimal home grid world environment to evaluate language understanding in interactive agents.

hdadong/walk-these-ways

Sim-to-real RL training and deployment tools for the Unitree Go1 robot.

hdadong/LLM-Nexus-Papers-Frameworks-Checkpoints

Awesome-LLM: a curated list of Large Language Model

hdadong/snerl_official

Official code for "SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning" (ICML 2023)

hdadong/cassie-mujoco-sim

A simulation library for Agility Robotics' Cassie robot using MuJoCo

hdadong/machiavelli

hdadong/safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

hdadong/motion_imitation

Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

hdadong/LearningHumanoidWalking

Training a humanoid robot for locomotion using Reinforcement Learning

hdadong/doing_the_PhD

hdadong/safe-slac-1

Safe SLAC, an algorithm for safe cost-constrained reinforcement learning in high-dimensional POMDPs.

hdadong/daydreamer

DayDreamer: World Models for Physical Robot Learning

hdadong/Reinforcement-Learning-Papers

Related papers for reinforcement learning

hdadong/mbrl-lib

Library for Model Based RL

hdadong/tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"

hdadong/safe-slac

Implementation of Safe SLAC, a safety-constrained extension of Stochastic Latent Actor-Critic for safe RL from pixels.

hdadong/metadrive_saferl

hdadong/papernote

hdadong/dreamer-pytorch

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)