zhxei1

zhxei1's Stars

• lisarah/mdp_path_coordination

  Language:Python2

• thomashirtz/gym-hybrid

  Collection of OpenAI parametrized action-space environments.

  Language:Python559

• LijunSun90/pursuitFSC2

  POMG algorithm for large-scale pursuit game with partial observation and no communication.

  Language:Python182

• Tviskaron/pogema-baselines

  PPO and PyMARL baseline for Pogema environment

  Language:Python205

• marmotlab/PRIMAL2

  Training code PRIMAL2 - Public Repo

  Language:Python14657

• heidekrueger/bnelearn

  A Framework for Equilibrium Learning in Sealed-Bid Auctions

  Language:Jupyter Notebook222

• StanfordASL/hj_reachability

  Hamilton-Jacobi reachability analysis in JAX.

  Language:Python9716

• SafeRoboticsLab/ISAACS

  Language:Python92

• montrealrobotics/active-domainrand

  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)

  Language:Python9419

• locuslab/convex_adversarial

  A method for training neural networks that are provably robust to adversarial attacks.

  Language:Python37784

• huanzhang12/CROWN-IBP

  Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

  Language:Python9313

• Verified-Intelligence/auto_LiRPA

  auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

  Language:Python27567

• huanzhang12/RecurJac-and-CROWN

  Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms) [Do not use this repo, use https://github.com/Verified-Intelligence/auto_LiRPA instead]

  Language:Python256

• yjhuangcd/FI-ODE

  Official implementation for FI-ODE: Certified and Robust Forward Invariance in Neural ODEs.

  Language:Python52

• liuzuxin/safe-rl-robustness

  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)

  Language:Python383

• Hadisalman/robust-verify-benchmark

  Benchmark for LP-relaxed robustness verification of ReLU-networks

  Language:Jupyter Notebook405

• cduan2020/LocalizedControl

  Controllability analysis, driver placement, and optimal control design on large-scale dynamical networks using the concept of information neighborhood.

  Language:MATLAB84

• tinkoff-ai/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python1k118

• umd-huang-lab/WocaR-RL

  Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning

  Language:Python231

• RobustFieldAutonomyLab/Stochastic_Road_Network

  [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment

  Language:Python162

• ythuangyt/Robust-Reinforcement-Learning-via-Adversarial-training-with-Langevin-Dynamics

  Author implementations of paper "Robust Reinforcement Learning via Adversarial training with Langevin Dynamics"

  Language:Python71

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5k574

• zaiyan-x/RFQI

  Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]

  Language:Python202

• tesslerc/ActionRobustRL

  Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.09184

  Language:Jupyter Notebook3812

• nsidn98/Robust-Reinforcement-Learning

  Reinforcement Learning CS6700 Course Capstone Project

  Language:Python42

• huanzhang12/SA_PPO

  [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning

  Language:Python204

• chenhongge/StateAdvDRL

  [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"

  10818

• huanzhang12/SA_DDPG

  [NeurIPS 2020 Spotlight] State-adversarial DDPG for robust deep reinforcement learning

  Language:Python84

• nolanwagener/safe_rl

  Implementations of SAILR, PDO, and CSC

  Language:Python298

• google-deepmind/dm_control

  Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

  Language:Python3.7k652