Alternatives and similar repositories for drlviz:

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

• hyparxis / deep-rl
  Pytorch-based python library for continuous reinforcement learning and imitation learning [superseded by @osudrl/apex]
  ☆13Updated 5 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• Sha-Lab / SynPo
  Code Released for NeurIPS 2018 paper: Synthesized Policies for Transfer and Adaptation across Tasks and Environments
  ☆16Updated 5 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆21Updated 6 years ago
• shagunsodhani / torch-template
  Boiler plate code for Torch based ML projects
  ☆10Updated 3 years ago
• njustesen / a2c_gvgai
  A2C for GVG-AI
  ☆21Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• tianbingsz / WALL-E
  Codebase for Efficient yet simple Reinforcement Learning Research Framework
  ☆28Updated 2 years ago
• ondrejbiza / bandits
  Comparison of bandit algorithms from the Reinforcement Learning bible.
  ☆17Updated 6 years ago
• MasterScrat / rl-insights
  🤖 Reinforcement Learning paper summaries, notebooks, and articles.
  ☆26Updated 4 years ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 6 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• david-abel / iclr_2019
  Notes from ICLR 2019
  ☆24Updated 5 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 5 years ago
• chenxy99 / Generative-Temporal-Models-with-Spatial-Memory
  Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"
  ☆29Updated 2 years ago
• shagunsodhani / ml-logger
  Logging utility for ML experiments
  ☆16Updated 2 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 6 years ago
• davidmatthews1uvm / 2019-IROS
  Code for D. Matthews, S. Kriegman, C. Cappelle and J. Bongard, "Word2vec to behavior: morphology facilitates the grounding of language in…
  ☆15Updated 4 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• alok / rl_implementations
  ☆43Updated 5 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• ctallec / continuous-rl
  ☆20Updated 5 years ago
• garymcintire / mpi_util
  ☆25Updated 7 years ago
• ofirnachum / models
  Models built with TensorFlow
  ☆25Updated 6 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 7 years ago