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
  ☆84Updated 5 years ago
• iosband / TabulaRL
  ☆66Updated last year
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 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".
  ☆64Updated 2 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
• mcmachado / options
  ☆43Updated 8 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago
• yobibyte / atarigrandchallenge
  Code for 'The Grand Atari Challenge dataset' paper
  ☆55Updated 8 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆103Updated 6 years ago
• justinjfu / doodad
  A job launching library for docker, EC2, GCP, etc.
  ☆57Updated 4 years ago
• JohnLangford / RL_acid
  Some hard problems for reinforcement learning.
  ☆32Updated 7 years ago
• facebookresearch / measuring-emergent-comm
  On the pitfalls of measuring emergent communication
  ☆34Updated 6 years ago
• eaplatanios / jelly-bean-world
  A framework for experimenting with never-ending learning
  ☆80Updated last year
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆208Updated 4 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆66Updated 5 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆129Updated 6 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆110Updated 4 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated 2 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
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated 2 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆54Updated 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 7 years ago
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆84Updated 5 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago