Alternatives and similar repositories for GRIT

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

• DRL-CASIA / Collected-Autonomous-Driving
  ☆10Updated 4 years ago
• StanfordASL / MATS
  Code accompanying the CoRL 2020 paper "MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control" by Boris Iv…
  ☆41Updated 3 years ago
• TRI-ML / RAP
  This is the official code for the paper RAP: Risk-Aware Prediction for Robust Planning: https://arxiv.org/abs/2210.01368
  ☆45Updated 8 months ago
• sherrychen1120 / MIDAS
  Code for the paper: "MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation"
  ☆17Updated 3 years ago
• sisl / MultiAgentVariationalOcclusionInference
  Multi-agent occlusion inference using observed driver behaviors. A driver sensor model is learned using a conditional variational autoenc…
  ☆21Updated 3 years ago
• pkicki / neural_path_planning
  ☆22Updated last year
• SafeRoboticsLab / Safe_Occlusion_Aware_Planning
  Repository for "Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception" - RSS 2021
  ☆37Updated 2 years ago
• MIT-REALM / density_planner
  Official code for "Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability"
  ☆29Updated last year
• vincekurtz / rnn_collvoid
  Dynamic collision avoidance using LSTM to predict time-dependent obstacle behaviors
  ☆20Updated 6 years ago
• Alexbeast-CN / Detrive
  ☆13Updated last year
• SafeRoboticsLab / KLGame
  Repository for "Blending Data-Driven Priors in Dynamic Games" - RSS 2024
  ☆18Updated last year
• PhilippeW83440 / MCTS-NNET
  Monte Carlo Tree Search with Reinforcement Learning for Motion Planning
  ☆78Updated 4 years ago
• stuarteiffert / MCTS-GRNN
  [ICRA2020] Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
  ☆30Updated 3 years ago
• miaoruonan / MACA_test
  ☆11Updated 4 years ago
• SJWang2015 / AEMCARL
  Reinforcement Learning Based Collision Avoidance with Adaptive Environment Modeling for Crowded Scenes
  ☆39Updated last year
• yixiao1 / Action-Based-Representation-Learning
  ☆14Updated 2 years ago
• nikeke19 / Safe-Mult-RL
  A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023.
  ☆23Updated last year
• sisl / DecNashPlanning
  ☆15Updated 3 years ago
• yubinwang11 / latent_mpc
  Codebase for "Learning the References of Online Model Predictive Control for Urban Self-Driving"
  ☆22Updated last year
• VishnuDuttSharma / deep-multirobot-task
  Multi-robot collaborative tasks with deep learning
  ☆21Updated 2 years ago
• jatan12 / DiffProj
  End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic
  ☆22Updated last year
• shwang / pedestrian_prediction
  realtime, confidence-varying trajectory prediction for "Probabilistically Safe Robot Planning with Confidence-Based Human Predictions". R…
  ☆31Updated 5 years ago
• inverted-ai / torchdriveenv
  TorchDriveEnv is a lightweight 2D driving reinforcement learning environment, supported by a solid simulator and smart non-playable chara…
  ☆24Updated 3 months ago
• data-and-decision-lab / DeFIX
  Codebase of paper "DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Drivi…
  ☆13Updated 2 years ago
• tessavdheiden / SCR
  SocialCompliantRobot
  ☆16Updated last year
• rdeiaco / learning_lattice_planner
  Learns a lattice planner from a dataset.
  ☆16Updated 6 years ago
• RobustFieldAutonomyLab / Stochastic_Road_Network
  [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
  ☆22Updated last year
• marinaKollmitz / learning-nav-irl
  Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.
  ☆43Updated 4 years ago
• StanfordASL / safe_traffic_weaving
  On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions
  ☆17Updated 5 years ago
• JerryIshihara / lyft-motion-prediction-for-autonomous-vehicle
  Deep learning models for self-driving vehicles to predict other car/cyclist/pedestrian (called "agent")'s motion.
  ☆37Updated 4 years ago