Alternatives and similar repositories for rl-policies-attacks-defenses:

Users that are interested in rl-policies-attacks-defenses are comparing it to the libraries listed below

• huanzhang12 / ATLA_robust_RL
  Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
  ☆63Updated 4 years ago
• chenhongge / StateAdvDRL
  [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
  ☆127Updated 3 years ago
• chenhongge / SA_DQN
  [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
  ☆34Updated 4 years ago
• 2019ChenGong / Offline_RL_Poisoner
  Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.
  ☆28Updated 3 months ago
• asokraju / Adv-MARL
  Adversarial attacks in consensus-based multi-agent reinforcement learning
  ☆22Updated 2 years ago
• pkiourti / rl_backdoor
  Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning
  ☆18Updated 4 years ago
• huanzhang12 / SA_PPO
  [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
  ☆27Updated 3 years ago
• tuomaso / radial_rl_v2
  This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss​…
  ☆29Updated 3 years ago
• TimeBreaker / Adversarial-Reinforcement-Learning-Papers
  Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)
  ☆70Updated 2 years ago
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆74Updated last year
• nuwuxian / rl_adv_valuediff
  ☆16Updated 2 years ago
• LeoZhengZLY / stackelberg-actor-critic-algos
  ☆42Updated 3 years ago
• chengliu-LR / hybrid-action-RL
  Hybrid action space reinforcement learning algorithms.
  ☆12Updated 4 years ago
• liuzuxin / safe-rl-robustness
  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
  ☆46Updated 4 months ago
• pengyang7881187 / FedRL
  Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …
  ☆58Updated 3 years ago
• akjayant / PPO_Lagrangian_PyTorch
  Implementation of PPO Lagrangian in PyTorch
  ☆44Updated 2 years ago
• ling-pan / SD3
  ☆59Updated 4 years ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆49Updated 6 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆41Updated 3 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆71Updated last year
• zlr20 / saferl_kit
  ☆71Updated last year
• yeshenpy / ERL-Re2
  This is the official implementation of ERL-Re2.
  ☆64Updated 10 months ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 4 years ago
• ZifanWu / CAL
  Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"
  ☆17Updated last year
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆104Updated 2 years ago
• abukharin3 / ERNIE
  Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…
  ☆23Updated last year
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆53Updated 3 years ago
• murtazarang / MD-MADDPG
  ☆15Updated 5 years ago
• TJU-DRL-LAB / transfer-and-multi-task-reinforcement-learning
  ☆21Updated last year
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 years ago