Alternatives and similar repositories for distper

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

• kekmodel / rl_pytorch
  Deep Reinforcement Learning Algorithms Implementation in PyTorch
  ☆27Updated 3 months ago
• parksurk / dmarl-sc2
  Deep Multi-Agent Reinforcement Learning with StarCraft 2
  ☆10Updated 4 years ago
• whyjay / curiosity-bottleneck
  Repository for our ICML 2019 paper: Curiosity-Bottleneck
  ☆34Updated 2 years ago
• reinforcement-learning-kr / reinforcement-learning-pytorch
  Minimal and Clean Reinforcement Learning Examples in PyTorch
  ☆42Updated 6 years ago
• reinforcement-learning-kr / distributional_rl
  Repository for studying distributional rl
  ☆30Updated 4 months ago
• sjchoi86 / rl_tutorial
  Yet Another Reinforcement Learning Tutorial
  ☆73Updated 2 years ago
• RLOpensource / IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures
  ☆37Updated 5 years ago
• haje01 / impala
  Implement IMPALA architecture from Distributed Deep-RL Paper.
  ☆15Updated 6 years ago
• reinforcement-learning-kr / rl-montezuma
  The state-of-art deep rl algorithms for Montezuma's revenge
  ☆27Updated 6 years ago
• RLOpensource / Relational_Deep_Reinforcement_Learning
  ☆49Updated 6 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• chagmgang / distributed_reinforcement_learning
  implementation of distributed reinforcement learning with distributed tensorflow
  ☆56Updated 3 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• chagmgang / pysc2_rl
  ☆10Updated 6 years ago
• younggyoseo / pytorch-acer
  PyTorch implementation of Sample Efficient Actor-Critic with Experience Replay(ACER)
  ☆16Updated 4 years ago
• kingdy2002 / VCSE
  ☆18Updated last year
• youngwoon / transition
  Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)
  ☆73Updated 6 years ago
• kakaobrain / brain-agent
  Brain Agent for Large-Scale and Multi-Task Agent Learning
  ☆93Updated last year
• kenjyoung / dreamerv2_JAX
  An implementation of DreamerV2 written in JAX, with support for running multiple random seeds of an experiment on a single GPU.
  ☆15Updated 2 years ago
• jinPrelude / simple-es
  Simple implementations of multi-agent evolutionary strategies using pytorch.
  ☆16Updated 3 years ago
• hiwonjoon / NEC
  Implementation of Neural Episodic Control in Tensorflow
  ☆27Updated 6 years ago
• LiubovSobolevskaya / tf2-a2c-ppo
  mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.
  ☆9Updated 5 years ago
• chris-chris / haiku-scalable-example
  Scalable distributed reinforcement learning agents on kubernetes
  ☆57Updated last year
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆28Updated 3 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆22Updated 5 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆49Updated 3 years ago
• RLOpensource / IMPALA-Distributed-Tensorflow
  ☆40Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 6 years ago
• jaekyeom / IBOL
  ☆30Updated 3 years ago
• pokaxpoka / rad_openaigym
  RAD: Reinforcement Learning with Augmented Data (code for state augmentation)
  ☆11Updated 4 years ago