Alternatives and similar repositories for RL_PlayGround:

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

• yushinliu / Adaptive-Dynamic-programming
  ☆31Updated 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.
  ☆99Updated 2 years ago
• indigoLovee / TD3
  TD3 in Pytorch
  ☆31Updated 3 years ago
• scchy / RL
  Reinforcement learning
  ☆30Updated 2 weeks ago
• Phoenix-Shen / ReinforcementLearning
  强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行
  ☆77Updated last year
• DangFengying / RL-based-event-triggered-MPC
  ☆72Updated 2 years ago
• Quantum-Cheese / DeepReinforcementLearning_Pytorch
  Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
  ☆57Updated 3 years ago
• Everglow0214 / The_Adaptive_Dynamic_Programming_Toolbox
  ☆45Updated 3 years ago
• Emmanuel-Naive / MADDPG
  Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships
  ☆34Updated 2 years ago
• Emmanuel-Naive / MATD3
  Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships
  ☆62Updated 2 years ago
• TobiasLv / RAD
  ☆39Updated 3 weeks ago
• acezsq / dsx-rl
  动手学强化学习代码
  ☆54Updated last year
• mahaitongdae / Approximate-Dynamic-Programming
  ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
  ☆41Updated 2 years ago
• LLT1 / pages-for-RL-and-ADP
  强化学习和自适应动态规划资料
  ☆27Updated 5 years ago
• kunqian2025 / reinforcement-learning
  Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.
  ☆67Updated 6 years ago
• mengwanglalala / RL-algorithms
  RL algorithms
  ☆141Updated 4 years ago
• cuntou0906 / Adaptive-dynamic-programming
  Adaptive dynamic programming（ADP） 自适应动态规划
  ☆42Updated 4 years ago
• JakobaRmn / Constraint_RL_MPC
  Safe control of unknown dynamic systems with reinforcement learning and model predictive control
  ☆48Updated 5 years ago
• mabolivar / adp-powell-exercises
  Approximate Dynamic Programming exercises from Powell (2011)
  ☆14Updated last year
• boyu-ai / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆23Updated last year
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆73Updated last week
• lujingweihh / Adaptive-dynamic-programming-algorithms
  Adaptive dynamic programming
  ☆107Updated 2 months ago
• wild-firefox / FreeRL
  Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL
  ☆57Updated last week
• ZhihanLee / Constrained-SAC-PPO
  A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…
  ☆35Updated last year
• AndreuMatoses / scalable-collision-avoidance-RL
  Multi agent scalable reinforcement learning for formation control with collision avoidance
  ☆33Updated 5 months ago
• wadx2019 / rpo
  Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"
  ☆32Updated last year
• cjdjr / T-MAAC
  Transformer-based Multi-Agent Actor-Critic Framework
  ☆44Updated 2 years ago
• ammarhydr / SAC-Lagrangian
  PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
  ☆47Updated 2 years ago
• XinJingHao / Prioritized-Experience-Replay-DDQN-Pytorch
  A clean and robust implementation of Prioritized DQN and Prioritized Double DQN
  ☆19Updated 10 months ago
• colaforced / AgentsMotionSimulation
  多智能体均匀多边形编队、追逐与合围。
  ☆47Updated 2 years ago