Alternatives and similar repositories for pathfinding-in-stochastic-envs

Users that are interested in pathfinding-in-stochastic-envs are comparing it to the libraries listed below

• XinJingHao / Color
  Color: Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
  ☆23Updated 6 months ago
• omron-sinicx / planning-datasets
  Dataset generation scripts for “Path Planning using Neural A* Search” presented in ICML-21
  ☆22Updated 2 years ago
• RobustFieldAutonomyLab / Stochastic_Road_Network
  [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
  ☆22Updated last year
• dhananjaisharma10 / Model-based-Reinforcement-Learning
  Model-based reinforcement learning using CEM, MPC and PETS
  ☆16Updated 5 years ago
• akshitj1 / uav-mujoco
  Quadcopter control with RL
  ☆13Updated 3 years ago
• jk96491 / C-COMA
  Continual Multi-agent Reinforcement Learning in Dynamic Environments
  ☆10Updated 3 years ago
• tudelft / risk-sensitive-rl
  Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.
  ☆33Updated 3 years ago
• boschresearch / Hierarchies-of-Planning-and-Reinforcement-Learning-for-Robot-Navigation
  ☆17Updated 3 years ago
• proroklab / HetGPPO
  Heterogeneous Multi-Robot Reinforcement Learning
  ☆50Updated 9 months ago
• katetolstaya / gym-flock
  OpenAI Gym interfaces for multi-robot flocking problems
  ☆41Updated 4 years ago
• marmotlab / DAN
  Public version of the decentralized, attention-based mTSP code
  ☆36Updated 3 years ago
• jimmyyhwu / spatial-intention-maps
  Learning multi-agent robotic mobile manipulation with deep reinforcement learning
  ☆103Updated 2 years ago
• ai-lab-science / Deep-Reinforcement-Learning-for-mapless-navigation-in-intralogistics
  This repository is for the paper "Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralog…
  ☆20Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆39Updated 2 years ago
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆23Updated 2 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆25Updated 2 years ago
• xupei0610 / KDMA
  [IROS2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation
  ☆24Updated last year
• tianqi-wang1996 / Airsim_imitation-reinforcement-learning
  This is the code for my published paper: Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Auton…
  ☆17Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 7 months ago
• Kei18 / tswap
  Solving Simultaneous Target Assignment and Path Planning Efficiently with Time-Independent Execution (ICAPS-22; AIJ-23)
  ☆26Updated 2 months ago
• omron-sinicx / jaxmapp
  JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.
  ☆53Updated 2 years ago
• ZiyuanMa / DHC
  Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021
  ☆70Updated 3 years ago
• Cognitive-AI-Systems / learn-to-follow
  [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follow…
  ☆41Updated 10 months ago
• seongun-kim / vcrl
  [ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
  ☆12Updated last year
• marmotlab / CAtNIPP
  [CoRL 2022] Context-Aware Attention-based Network for Informative Path Planning - Public code and model
  ☆27Updated 2 years ago
• RoboEden / flatland-marl
  A multi-agent reinforcement learning solution to Flatland3 challenge.
  ☆16Updated last year
• marmotlab / LNS2-RL
  ☆31Updated 6 months ago
• DavidCastilloAlvarado / Path-planning-and-Reinforcement-Learning
  We will create a map from the reality and put a diferential robot in there with the aim to use an path planning algorithm through reinfor…
  ☆46Updated 4 years ago
• HannesStark / gnn-reinforcement-learning
  Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
  ☆33Updated 4 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆39Updated 4 years ago