indigoLovee / DDPG

Related projects ⓘ

Alternatives and complementary repositories for DDPG

• indigoLovee / D3QN
  D3QN Pytorch
  ☆52Updated 2 years ago
• MISTCARRYYOU / MASA-QMIX
  Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'
  ☆35Updated last year
• X-I-N / my_PDQN
  my code for paper Parameterized-DQN
  ☆20Updated 3 years ago
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆36Updated 2 years ago
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆39Updated 2 years ago
• LoveDoveDog / MAPPO
  Lightweight multi-agent PPO for IEEE field.
  ☆11Updated 2 years ago
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆130Updated last year
• indigoLovee / TD3
  TD3 in Pytorch
  ☆27Updated 2 years ago
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆49Updated 3 years ago
• mengwanglalala / RL-algorithms
  RL algorithms
  ☆139Updated 3 years ago
• thesouther / MARL
  多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等
  ☆179Updated 2 years ago
• jyqhahah / rl_maddpg_matd3
  ☆14Updated 3 years ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆58Updated last year
• Quantum-Cheese / DeepReinforcementLearning_Pytorch
  Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
  ☆53Updated 3 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.
  ☆91Updated 2 years ago
• Emmanuel-Naive / MADDPG
  Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships
  ☆28Updated 2 years ago
• JohannesAck / MATD3implementation
  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…
  ☆75Updated 3 years ago
• CyChan811 / DQN
  DQN by Matlab and Python
  ☆24Updated 4 years ago
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆32Updated 3 weeks ago
• Skylarking / MARL
  多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现
  ☆25Updated last year
• Git-123-Hub / maddpg-mpe-pytorch
  implementation of MADDPG using PyTorch and multiagent-particle-envs
  ☆28Updated 2 years ago
• philtabor / Multi-Agent-Reinforcement-Learning
  PyTorch implementations of MADDPG, MAPPO (coming)
  ☆83Updated 8 months ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆59Updated 5 months ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆162Updated 4 years ago
• manaski / MARL
  多智能体强化学习
  ☆83Updated 5 years ago
• LxzGordon / Deep-Reinforcement-Learning-with-pytorch
  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…
  ☆90Updated 3 years ago
• Git-123-Hub / maddpg-pettingzoo-pytorch
  implementation of MADDPG using PettingZoo and PyTorch
  ☆109Updated last year
• yoshinobc / M3DDPG-pytorch
  MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation
  ☆10Updated 3 years ago