Alternatives and similar repositories for MAX:

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

• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆67Updated 5 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆83Updated 5 years ago
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated last year
• WilsonWangTHU / POPLIN
  ☆97Updated last year
• sharadmv / parasol
  ☆68Updated 3 years ago
• russellmendonca / maesn_suite
  ☆42Updated 6 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆150Updated 4 years ago
• aravindsrinivas / upn
  ☆33Updated 6 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 5 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆72Updated 3 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
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆97Updated 4 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 3 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• youngwoon / transition
  Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)
  ☆74Updated 5 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• jcoreyes / OP3
  Entity Abstraction in Visual Model-Based Reinforcement Learning
  ☆56Updated 4 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 6 years ago
• sebascuri / hucrl
  ☆30Updated last year
• KamyarGh / rl_swiss
  ☆66Updated 4 years ago
• zuoxingdong / DeepPILCO
  ☆53Updated 7 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago