Alternatives and similar repositories for MDPN

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

• google-deepmind / dm_hard_eight
  ☆85Updated 4 years ago
• iosband / TabulaRL
  ☆65Updated last year
• JohnLangford / RL_acid
  Some hard problems for reinforcement learning.
  ☆31Updated 6 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 7 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• RonanFR / UCRL
  ☆27Updated 6 years ago
• yobibyte / atarigrandchallenge
  Code for 'The Grand Atari Challenge dataset' paper
  ☆53Updated 7 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• justinjfu / doodad
  A job launching library for docker, EC2, GCP, etc.
  ☆57Updated 3 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• lmb-freiburg / td-or-not-td
  Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…
  ☆12Updated 6 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆109Updated 3 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 5 years ago
• eringrant / spirl-readings
  A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.
  ☆13Updated 4 years ago
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆66Updated 5 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• paintception / Deep-Quality-Value-DQV-Learning-
  DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm
  ☆25Updated 2 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆29Updated 7 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• flowersteam / teachDeepRL
  ☆86Updated 4 years ago