Alternatives and similar repositories for DDPG

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

• araffin / rl-tutorial-jnrr19
  Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
  ☆709Updated 2 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆184Updated 3 years ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆125Updated 5 years ago
• inoryy / tensorflow2-deep-reinforcement-learning
  Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
  ☆206Updated 4 years ago
• nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorch
  PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
  ☆325Updated 3 years ago
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 years ago
• archsyscall / DeepRL-TensorFlow2
  🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
  ☆609Updated 3 years ago
• Nasdin / ReinforcementLearning-AtariGame
  Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…
  ☆189Updated last year
• cyoon1729 / RLcycle
  A library for ready-made reinforcement learning agents and reusable components for neat prototyping
  ☆299Updated last year
• nikhilbarhate99 / TD3-PyTorch-BipedalWalker-v2
  Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
  ☆106Updated 6 years ago
• pythonlessons / Reinforcement_Learning
  Reinforcement learning tutorials
  ☆388Updated 2 years ago
• germain-hug / Deep-RL-Keras
  Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
  ☆548Updated 5 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆147Updated 6 years ago
• keiohta / tf2rl
  TensorFlow2 Reinforcement Learning
  ☆477Updated 3 years ago
• medipixel / rl_algorithms
  Structural implementation of RL key algorithms
  ☆514Updated 2 years ago
• Kyushik / DRL
  Repository for codes of 'Deep Reinforcement Learning'
  ☆218Updated 6 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 5 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆352Updated 5 years ago
• dongminlee94 / deep_rl
  PyTorch implementation of deep reinforcement learning algorithms
  ☆494Updated 3 years ago
• sungyubkim / Deep_RL_with_pytorch
  A pytorch tutorial for DRL(Deep Reinforcement Learning)
  ☆218Updated 2 years ago
• openai / gym-soccer
  ☆304Updated 2 years ago
• StepNeverStop / RLs
  Reinforcement Learning Algorithms Based on PyTorch
  ☆448Updated 3 years ago
• abhisheksuran / Reinforcement_Learning
  Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
  ☆101Updated 3 years ago
• choru-k / Reinforcement-Learning-Pytorch-Cartpole
  Simple Cartpole example writed with pytorch.
  ☆170Updated 5 years ago
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆548Updated 11 months ago
• takuseno / ppo
  Proximal Policy Optimization implementation with TensorFlow
  ☆106Updated 7 years ago
• anita-hu / TF2-RL
  Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
  ☆315Updated 3 years ago
• PacktPublishing / Tensorflow-2-Reinforcement-Learning-Cookbook
  Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
  ☆196Updated last month
• sisl / MADRL
  Repo containing code for multi-agent deep reinforcement learning (MADRL).
  ☆721Updated 2 years ago
• Farama-Foundation / MAgent
  An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…
  ☆194Updated 2 years ago