Alternatives and similar repositories for IMPALA-Distributed-Tensorflow

Users that are interested in IMPALA-Distributed-Tensorflow are comparing it to the libraries listed below

• RLOpensource / IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures
  ☆37Updated 5 years ago
• chagmgang / tf2.0_reinforcement_learning
  Basic reinforcement learning implementation with tensorflow version 2.0
  ☆52Updated 5 years ago
• chagmgang / pytorch_ppo_rl
  Pytorch implementation of intrinsic curiosity module with proximal policy optimization
  ☆53Updated 6 years ago
• reinforcement-learning-kr / distributional_rl
  Repository for studying distributional rl
  ☆30Updated 4 months ago
• jk96491 / SMAC
  StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX
  ☆71Updated 3 years ago
• reinforcement-learning-kr / rl-montezuma
  The state-of-art deep rl algorithms for Montezuma's revenge
  ☆27Updated 6 years ago
• chagmgang / distributed_reinforcement_learning
  implementation of distributed reinforcement learning with distributed tensorflow
  ☆56Updated 3 years ago
• younggyoseo / Ape-X
  PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)
  ☆154Updated 6 years ago
• haje01 / impala
  Implement IMPALA architecture from Distributed Deep-RL Paper.
  ☆15Updated 6 years ago
• kekmodel / rl_pytorch
  Deep Reinforcement Learning Algorithms Implementation in PyTorch
  ☆27Updated 3 months ago
• younggyoseo / pytorch-acer
  PyTorch implementation of Sample Efficient Actor-Critic with Experience Replay(ACER)
  ☆16Updated 4 years ago
• Junyoungpark / Pytorch-AWAC
  A PyTorch implementation of Advantage weighted Actor-Critic (AWAC)
  ☆55Updated 4 years ago
• RLOpensource / Relational_Deep_Reinforcement_Learning
  ☆49Updated 6 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆95Updated 4 years ago
• tegg89 / magnet
  MAGNet: Multi-agents control using Graph Neural Networks
  ☆132Updated 6 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆141Updated 6 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆49Updated 4 years ago
• jcwleo / Reinforcement_Learning
  강화학습에 대한 기본적인 알고리즘 구현
  ☆116Updated 6 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆76Updated 2 years ago
• dongminlee94 / Samsung-DRL-Code
  A repository for implementation of deep reinforcement learning lectured at Samsung
  ☆108Updated 3 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆26Updated 5 years ago
• vtalpaert / pytorch-feudal-network
  Pytorch implementation of [Feudal Net](https://arxiv.org/abs/1703.01161). ([Tensorflow version](https://github.com/dmakian/feudal_networ…
  ☆16Updated 5 years ago
• Coac / never-give-up
  PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies
  ☆58Updated 4 years ago
• tencent-ailab / tleague_projpage
  ☆143Updated 5 months ago
• Deepest-Project / WorldModels-A3C
  World Models with A3C on Carracing-v0 in gym
  ☆32Updated 5 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆94Updated 2 years ago
• jcwleo / mario_rl
  ☆69Updated 6 years ago
• koulanurag / minimal-marl
  Minimal implementation of multi-agent reinforcement learning algorithms
  ☆55Updated 3 years ago
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆96Updated 4 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 3 years ago