Alternatives and similar repositories for PyDiffGame

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

• aalu1418 / differential-games
  Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.
  ☆36Updated 5 years ago
• mahaitongdae / Approximate-Dynamic-Programming
  ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
  ☆43Updated 3 years ago
• rishabbala / Pursuit-Evasion
  This repository contains Python scripts for multiple pursuer one evader differential pursuit evasion game.
  ☆30Updated 5 years ago
• joigalcar3 / IHDP
  Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.
  ☆11Updated 2 years ago
• giovannifereoli / RL-for-Spacecraft-Proximity-Operations-GC
  Meta-Reinforcement Learning for Spacecraft Proximity Operations Guidance and Control in Cislunar Space
  ☆13Updated 10 months ago
• BenjyWP / deep_meta-learning_guidance_law
  Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"
  ☆16Updated 6 years ago
• arbit3rr / Flocking-Multi-Agent
  Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular for…
  ☆45Updated 2 years ago
• tccliangchen / deep_meta-learning_guidance_law
  Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"
  ☆9Updated 6 years ago
• liuzuxin / MPC_template-model_predictive_control_for_reinforcement_learning
  Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
  ☆88Updated 5 years ago
• JakobaRmn / Constraint_RL_MPC
  Safe control of unknown dynamic systems with reinforcement learning and model predictive control
  ☆51Updated 6 years ago
• yushinliu / Adaptive-Dynamic-programming
  ☆32Updated 6 years ago
• DRL-CASIA / Deep-Reinforcement-Learning
  ☆17Updated 4 years ago
• igsor / HDPy
  Heuristic Dynamic Programming with Python
  ☆14Updated 11 years ago
• danelee2601 / RL-based-adaptive-PID-for-DPS
  Python code for implementation of the paper 'Reinforcement Learning-Based Adaptive PID Controller for DPS
  ☆12Updated 4 years ago
• tayalmanan28 / Safe_Reinforcement_Learning
  Repository containing the code for safe reinforcement learning in two custom environments
  ☆45Updated 3 months ago
• olixu / Adaptive_Dynamic_Programming_Hub
  Adaptive Dynamic Programming Algorithms and Simulations
  ☆15Updated 4 years ago
• cuntou0906 / Adaptive-dynamic-programming
  Adaptive dynamic programming（ADP） 自适应动态规划
  ☆46Updated 4 years ago
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆144Updated 2 years ago
• lok-i / DRLPathPlanner
  -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques
  ☆32Updated 4 years ago
• gemst1 / IRL
  Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review
  ☆41Updated 4 years ago
• AliBaheri / Safe-Reinforcement-Learning
  The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.
  ☆48Updated 7 years ago
• matlab-deep-learning / rl-agent-based-traffic-control
  Develop agent-based traffic management system by model-free reinforcement learning
  ☆49Updated 4 years ago
• DangFengying / RL-based-event-triggered-MPC
  ☆76Updated 2 years ago
• chennnnnyize-zz / Optimal-Control-via-Neural-Networks
  Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
  ☆83Updated 6 years ago
• SamuelMallick / dmpcrl-concept
  Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…
  ☆15Updated 4 months ago
• christopher-hsu / scalableMARL
  Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.
  ☆35Updated last year
• scc-lab / publications-code
  Code to reproduce results in peer-reviewed publications
  ☆21Updated 6 months ago
• wgshen / sOED
  Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)
  ☆20Updated 3 years ago
• JacopoPan / gym-marl-reconnaissance
  Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams
  ☆46Updated 3 years ago
• mail-ecnu / Reinforcement-Learning-and-Optimal-Control
  ☆76Updated 6 years ago