Alternatives and similar repositories for SafeDRL

Users that are interested in SafeDRL are comparing it to the libraries listed below

• IBM / vsrl-framework
  The Verifiably Safe Reinforcement Learning Framework
  ☆57Updated 4 years ago
• safe-rl / safe-rl-shielding
  ☆46Updated 3 years ago
• grockious / lcrl
  Logically-Constrained Reinforcement Learning
  ☆55Updated last year
• JmfanBU / ReachNNStar
  Reachability Analysis Tool of Neural Network Controlled Systems (NNCSs)
  ☆17Updated 2 years ago
• chenhongge / StateAdvDRL
  [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
  ☆139Updated 4 years ago
• RodrigoToroIcarte / reward_machines
  ☆75Updated last year
• keyshor / spectrl_tool
  Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (ht…
  ☆17Updated 5 years ago
• fiezt / ICML-2020-Implicit-Stackelberg-Learning
  ☆12Updated 5 years ago
• prismmodelchecker / prism-games
  The main development version of the PRISM-games model checker, an extension of PRISM which supports stochastic games.
  ☆29Updated 6 months ago
• act3-ace / SafeRL
  ☆32Updated last year
• huanzhang12 / ATLA_robust_RL
  Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
  ☆67Updated 4 years ago
• grockious / deepsynth
  DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
  ☆24Updated 4 years ago
• davide97l / rl-policies-attacks-defenses
  Adversarial attacks on Deep Reinforcement Learning (RL)
  ☆97Updated 4 years ago
• verivital / nnv
  Neural Network Verification Software Tool
  ☆132Updated 3 weeks ago
• mynkpl1998 / Recurrent-Deep-Q-Learning
  Solving POMDP using Recurrent networks
  ☆92Updated 5 years ago
• AlgTUDelft / AlwaysSafe
  Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"
  ☆17Updated 3 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆61Updated 5 years ago
• whitemech / temprl
  Reinforcement Learning framework for Temporal Goals
  ☆11Updated 2 years ago
• sisl / HorizontalCAS
  ☆22Updated 4 years ago
• souradeep-111 / sherlock
  Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.
  ☆30Updated 5 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆75Updated 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​…
  ☆30Updated 3 years ago
• progirep / planet
  PLANET: a Piece-wise LineAr feed-forward NEural network verification Tool
  ☆43Updated 6 years ago
• umd-huang-lab / WocaR-RL
  Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
  ☆27Updated 2 years ago
• whitemech / LTLf2DFA
  From LTLf / PPLTL to Deterministic Finite-state Automata (DFA)
  ☆78Updated last year
• chenxin415 / flowstar
  The latest source code of the tool Flow*
  ☆29Updated 2 years ago
• gavlegoat / safe-learning
  ☆18Updated 2 years ago
• chenhongge / SA_DQN
  [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
  ☆35Updated 4 years ago
• befelix / safe_learning
  Safe reinforcement learning with stability guarantees
  ☆236Updated 3 years ago
• huanzhang12 / SA_PPO
  [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
  ☆31Updated 4 years ago