Alternatives and similar repositories for rl_info_theory:

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

• 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
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆46Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 7 months ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• ofirnachum / models
  Models built with TensorFlow
  ☆25Updated 6 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆18Updated 5 years ago
• njustesen / a2c_gvgai
  A2C for GVG-AI
  ☆21Updated 6 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 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
• AutumnWu / Streamlined-Off-Policy-Learning
  ICRL 2020
  ☆19Updated 5 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆21Updated 6 years ago
• hiwonjoon / NEC
  Implementation of Neural Episodic Control in Tensorflow
  ☆26Updated 5 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆29Updated 6 years ago
• paintception / Deep-Quality-Value-DQV-Learning-
  DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm
  ☆25Updated 2 years ago
• bmazoure / DRIML
  Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)
  ☆10Updated 4 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 3 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 5 years ago
• ajgupta93 / d3pg-pytorch
  Distributed DDPG implementation in pytorch
  ☆9Updated 6 years ago
• Shallow-Updates-for-Deep-RL / Shallow_Updates_for_Deep_RL
  Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"
  ☆18Updated 7 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 6 years ago