Alternatives and similar repositories for tf2.0_reinforcement_learning

Users that are interested in tf2.0_reinforcement_learning are comparing it to the libraries listed below

• chagmgang / pytorch_ppo_rl
  Pytorch implementation of intrinsic curiosity module with proximal policy optimization
  ☆53Updated 6 years ago
• archsyscall / DistRL-TensorFlow2
  🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
  ☆69Updated 4 years ago
• chagmgang / distributed_reinforcement_learning
  implementation of distributed reinforcement learning with distributed tensorflow
  ☆57Updated 4 years ago
• younggyoseo / Ape-X
  PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)
  ☆154Updated 6 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 4 years ago
• RLOpensource / IMPALA-Distributed-Tensorflow
  ☆40Updated 5 years ago
• RLOpensource / IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures
  ☆37Updated 6 years ago
• dongminlee94 / Reinforcement-Learning-Code
  A repository for code of reinforcement learning algorithms with PyTorch
  ☆30Updated 3 years ago
• sungyubkim / Deep_RL_with_pytorch
  A pytorch tutorial for DRL(Deep Reinforcement Learning)
  ☆218Updated 2 years ago
• jk96491 / SMAC
  StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX
  ☆72Updated 4 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆143Updated 6 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆76Updated 3 years ago
• kekmodel / rl_pytorch
  Deep Reinforcement Learning Algorithms Implementation in PyTorch
  ☆27Updated 5 months ago
• BY571 / DQN-Atari-Agents
  DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…
  ☆121Updated 4 years ago
• shakti365 / soft-actor-critic
  TF2 Implementation of the Soft Actor-Critic Algorithm
  ☆43Updated 2 years ago
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆139Updated 2 years ago
• toshikwa / fqf-iqn-qrdqn.pytorch
  PyTorch implementation of FQF, IQN and QR-DQN.
  ☆182Updated last year
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• reinforcement-learning-kr / rl-montezuma
  The state-of-art deep rl algorithms for Montezuma's revenge
  ☆26Updated 6 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆50Updated 4 years ago
• createamind / DRL
  ☆92Updated 4 years ago
• Coac / never-give-up
  PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies
  ☆59Updated 4 years ago
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 years ago
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆251Updated 6 years ago
• Huixxi / TensorFlow2.0-for-Deep-Reinforcement-Learning
  TensorFlow 2.0 for Deep Reinforcement Learning.
  ☆87Updated last year
• BlueFisher / Advanced-Soft-Actor-Critic
  Soft Actor-Critic with advanced features
  ☆50Updated last week
• jakegrigsby / deep_control
  Deep Reinforcement Learning for Continuous Control in PyTorch
  ☆101Updated 3 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆54Updated 4 months ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆126Updated 5 years ago
• tegg89 / magnet
  MAGNet: Multi-agents control using Graph Neural Networks
  ☆132Updated 6 years ago