Alternatives and similar repositories for mazelab

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

• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆182Updated 8 years ago
• jonasrothfuss / ProMP
  Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…
  ☆246Updated 3 years ago
• mila-iqia / atari-representation-learning
  Code for "Unsupervised State Representation Learning in Atari"
  ☆257Updated 2 years ago
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆209Updated 6 years ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆280Updated 4 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆74Updated 8 years ago
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆374Updated 4 years ago
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆259Updated 6 years ago
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆268Updated 5 years ago
• justinjfu / inverse_rl
  ☆275Updated 7 years ago
• WilsonWangTHU / mbbl
  ☆397Updated 6 years ago
• go2sea / DQfD
  An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…
  ☆132Updated 8 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆139Updated 3 years ago
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆173Updated 4 years ago
• uber-research / ape-x
  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
  ☆190Updated 6 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆151Updated 2 years ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆205Updated 3 years ago
• florensacc / rllab-curriculum
  ☆138Updated 6 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆157Updated 7 years ago
• kenjyoung / MinAtar
  ☆324Updated last year
• davidhershey / feudal_networks
  An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161
  ☆186Updated 8 years ago
• greydanus / visualize_atari
  Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
  ☆124Updated 4 years ago
• seungjaeryanlee / rldb
  Performances of Reinforcement Learning Agents
  ☆53Updated 6 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆163Updated 5 years ago
• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆278Updated 5 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆194Updated 3 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆435Updated 2 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆154Updated 5 years ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆144Updated 4 years ago