Alternatives and similar repositories for RLContinuousActionSpace

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

• datvodinh / ppo-transformer
  A Reinforcement Learning Project using PPO + Transformer
  ☆52Updated last year
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆52Updated 3 years ago
• alexbooth / DDQN-PER
  Double Deep Q-Learning with Prioritized Experience Replay
  ☆34Updated 7 years ago
• Lizhi-sjtu / Rainbow-DQN-pytorch
  This is a concise Pytorch implementation of Rainbow DQN, including Double Q-learning, Dueling network, Noisy network, PER and n-steps Q-l…
  ☆32Updated 2 years ago
• philtabor / Multi-Agent-Reinforcement-Learning
  PyTorch implementations of MADDPG, MAPPO (coming)
  ☆141Updated last year
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆149Updated last year
• LinghengMeng / LSTM-TD3
  The implementation of LSTM-TD3.
  ☆79Updated 2 years ago
• ismorphism / DeepGame
  Multi-agent reinforcement learning programs based on Game theory
  ☆39Updated 2 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆51Updated 2 months ago
• RobvanGastel / rnn-sac
  Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch
  ☆26Updated 2 years ago
• amokhvarma / GraphAttentionRL
  This repository contains an attempt at using Graph Attention based Reinforcement Learning for graphical state space. The code also provid…
  ☆10Updated 3 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆209Updated 6 years ago
• Abluceli / Multi-agent-Reinforcement-Learning-Algorithms
  Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)
  ☆15Updated 4 years ago
• deligentfool / policy_based_RL
  The implement of the policy gradient RL algorithm with pytorch
  ☆38Updated 4 years ago
• XinJingHao / TD3-BipedalWalkerHardcore-v2
  Solve BipedalWalkerHardcore-v2 with TD3
  ☆88Updated last year
• bdvllrs / marl-patrolling-agents
  Project on multi agent reinforcement learning applied on patrolling agents
  ☆39Updated 5 years ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆130Updated last year
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆117Updated 2 years ago
• rhoowd / sched_net
  ☆85Updated 3 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 4 years ago
• cookbenjamin / DDPG
  Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm
  ☆75Updated 8 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆89Updated last year
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆26Updated 5 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 4 years ago
• shakti365 / soft-actor-critic
  TF2 Implementation of the Soft Actor-Critic Algorithm
  ☆44Updated 2 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• ThousandOfWind / DRL-baseline
  Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C
  ☆19Updated 4 years ago
• jxx123 / rl-tf2
  My own implementation of Reinforcement Learning algorithms using Tensorflow 2.0
  ☆30Updated 3 years ago
• kaixindelele / DRL-tensorflow
  My DRL library with tensorflow1.14 based on openai spinning-up
  ☆61Updated 4 years ago
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆37Updated 6 months ago