Alternatives and similar repositories for Efficient-Eng-2-LTL

Users that are interested in Efficient-Eng-2-LTL are comparing it to the libraries listed below

• LTL2Action / LTL2Action
  This is the code repository accompanying the ICML 2021 paper LTL2Action: Generalizing LTL Instructions for Multi-Task RL (https://arxiv.o…
  ☆33Updated last year
• PatrickTrentin88 / gltl2ba
  This tool enriches ltl2ba, which transofrms LTL formulas into Buchi Automatons, with graph generation capabilities.
  ☆22Updated 7 years ago
• alperkamil / csrl
  Control Synthesis from Formal Specifications using Reinforcement Learning
  ☆23Updated this week
• keyshor / spectrl_tool
  Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (ht…
  ☆17Updated 4 years ago
• RU-Automated-Reasoning-Group / GCRL-LTL
  NeurlPS'23 Instructing Goal-Conditioned Agents with LTL Objectives
  ☆21Updated last year
• czlwang / grounded_LTL_parser
  [CoRL 2020] Learning a natural-language to LTL executable semantic parser for grounded robotics
  ☆17Updated 2 years ago
• rcpsl / SMC-LTL
  SMC-LTL: SMC-Based LTL MultiRobot Motion Planner
  ☆13Updated last year
• SafeRoboticsLab / safety_rl
  ☆24Updated 3 years ago
• ut-amrl / SocialGym2
  SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.
  ☆60Updated last year
• mihdalal / raps
  [NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives
  ☆77Updated 2 years ago
• unstable-zeros / learning-cbfs
  Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…
  ☆65Updated last year
• ronuchit / LOFT_IROS_2021
  ☆19Updated last year
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆23Updated 2 years ago
• intelligent-control-lab / guard
  ☆50Updated 4 months ago
• agiachris / STAP
  Official repository for "STAP: Sequencing Task-Agnostic Policies," presented at ICRA 2023.
  ☆43Updated 4 months ago
• bdaiinstitute / predicators
  SeSaMe TAMP + Learning integrated with a Spot robot!
  ☆26Updated last month
• ZikangXiong / mobrob
  Mobile Robot Control via Goal-Conditioned Reinforcement Learning
  ☆21Updated last year
• Learning-and-Intelligent-Systems / predicators
  Learning for effective and efficient bilevel planning
  ☆116Updated this week
• chauncygu / Safe-Multi-Agent-Isaac-Gym
  Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.
  ☆60Updated 4 months ago
• RickyMexx / DeepRL-LTL
  Deep Reinforcement Learning with LTL goals.
  ☆9Updated 5 years ago
• PuzeLiu / rl_on_manifold
  Robot Reinforcement Learning on the Constraint Manifold
  ☆50Updated 3 years ago
• dtch1997 / rl_cbf
  Code accompanying "Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory"
  ☆28Updated last year
• tdmpc2 / tdmpc2-eval
  Evaluation of TD-MPC2.
  ☆22Updated last year
• arc-l / pmbs
  Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations
  ☆28Updated 9 months ago
• rvl-lab-utoronto / drake-tamp
  For TAMP experiments using Drake
  ☆13Updated last year
• keyshor / dirl
  Code for experiments in the paper: "Compositional Reinforcement Learning from Logical Specifications" (https://arxiv.org/abs/2106.13906).
  ☆15Updated 3 years ago
• ylkuo / ltl-zero-shot
  [IROS2020] Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas
  ☆10Updated 2 years ago
• vincekurtz / stlpy
  A python library for control from Signal Temporal Logic (STL) specifications
  ☆43Updated 3 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆38Updated 3 years ago
• yongchao98 / AutoTAMP
  Enhancing LLM/VLM capability for robot task and motion planning with extra algorithm based tools.
  ☆69Updated 8 months ago