Alternatives and similar repositories for control-of-jump-systems-based-on-reinforcement-learning

Users that are interested in control-of-jump-systems-based-on-reinforcement-learning are comparing it to the libraries listed below

• yushinliu / Adaptive-Dynamic-programming
  ☆32Updated 6 years ago
• ZYunfeii / DRL_algorithm_library
  This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
  ☆100Updated 2 years ago
• leowei31 / DDPG_RL_PID
  DDPG algorithm for PID tuning
  ☆28Updated 4 years ago
• CHH3213 / chhRL
  Reinforcement learning algorithm by pytorch
  ☆33Updated 2 years ago
• jaimeluengo / masac
  Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm
  ☆19Updated 6 years ago
• XinJingHao / TD3-BipedalWalkerHardcore-v2
  Solve BipedalWalkerHardcore-v2 with TD3
  ☆89Updated 2 years ago
• cuntou0906 / Adaptive-dynamic-programming
  Adaptive dynamic programming（ADP） 自适应动态规划
  ☆45Updated 4 years ago
• glong1997 / MultiAgentLearning
  多智能体学习库
  ☆19Updated 3 years ago
• DangFengying / RL-based-event-triggered-MPC
  ☆75Updated 2 years ago
• JakobaRmn / Constraint_RL_MPC
  Safe control of unknown dynamic systems with reinforcement learning and model predictive control
  ☆48Updated 5 years ago
• AndyYue1893 / Hands-On-Reinforcement-Learning-With-Python
  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
  ☆28Updated 5 years ago
• sujiongming / starcraftAI
  多智能体即时策略对抗方法与实践 苏炯铭 刘鸿福 陈少飞 项凤涛 编著 科学出版社 2019.11 随书代码
  ☆31Updated 4 years ago
• lok-i / DRLPathPlanner
  -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques
  ☆32Updated 4 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆70Updated 3 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
  ☆86Updated 4 years ago
• DRL-CASIA / Deep-Reinforcement-Learning
  ☆17Updated 4 years ago
• ZhongZ-Wang / Model-Based-RL
  这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
  ☆43Updated 4 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆126Updated 3 months ago
• blakcapple / DRL-PID
  Automatically tuning PID parameters based on deep reinforcement learning algorithm
  ☆21Updated last year
• zisikons / deep-rl
  Deep Learning (FS 2020)
  ☆16Updated 2 years ago
• LLT1 / pages-for-RL-and-ADP
  强化学习和自适应动态规划资料
  ☆29Updated 5 years ago
• troyesivanyh / SAC-PID
  ☆24Updated 3 years ago
• ubiquition / drl
  ☆23Updated 2 years ago
• Zhang-Xiaoxue / RL_algorithms_Pytorch
  Implement reinforcement learning algorithms in Pytorch
  ☆33Updated 3 years ago
• indigoLovee / TD3
  TD3 in Pytorch
  ☆34Updated 3 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆55Updated last year
• chch9907 / turtlebot3-DDPG-LSTM-PER
  multi-turtlebot3 collision avoidance and navigation via DDPG-LSTM with Prioritized Experience Replay on ROS
  ☆76Updated 2 years ago
• mahaitongdae / Approximate-Dynamic-Programming
  ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
  ☆42Updated 3 years ago
• cjdjr / T-MAAC
  Transformer-based Multi-Agent Actor-Critic Framework
  ☆46Updated 2 years ago
• ammarhydr / SAC-Lagrangian
  PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
  ☆47Updated 2 years ago