Alternatives and similar repositories for b-pro

Users that are interested in b-pro are comparing it to the libraries listed below

• yobibyte / atarigrandchallenge
  Code for 'The Grand Atari Challenge dataset' paper
  ☆53Updated 7 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆95Updated 7 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• iosband / TabulaRL
  ☆66Updated last year
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆179Updated 8 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 6 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆87Updated 5 years ago
• mklissa / PPOC
  Proximal Policy Option-Critic
  ☆25Updated 6 years ago
• Ardavans / DSR
  ☆96Updated 9 years ago
• ashedwards / ILPO
  Official implementation of ICML paper Imitating Latent Policies from Observation
  ☆75Updated 6 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆136Updated 3 years ago
• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆268Updated 6 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆110Updated 4 years ago
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆210Updated 6 years ago
• NoListen / ERL
  Exploration based Reinforcement Learning. (Montezuma Revenge)
  ☆14Updated 7 years ago
• davidhershey / feudal_networks
  An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161
  ☆186Updated 7 years ago
• florensacc / rllab-curriculum
  ☆138Updated 6 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆154Updated 7 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆72Updated 8 years ago
• abhishm / PGQ
  PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.
  ☆15Updated 8 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆153Updated 4 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago