Alternatives and similar repositories for large-scale-curiosity

Users that are interested in large-scale-curiosity are comparing it to the libraries listed below

• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆927Updated 5 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,468Updated 3 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆776Updated 2 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,014Updated 6 years ago
• google-deepmind / pycolab
  A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…
  ☆663Updated 6 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆618Updated 2 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆826Updated 2 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆371Updated 5 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆405Updated 2 years ago
• google-research / planet
  Learning Latent Dynamics for Planning from Pixels
  ☆1,225Updated 2 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆580Updated 3 years ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆672Updated 3 years ago
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆562Updated 5 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆972Updated 6 years ago
• worldmodels / worldmodels.github.io
  World Models
  ☆468Updated 5 years ago
• mrahtz / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆333Updated 4 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,122Updated 8 years ago
• crowdAI / marLo
  Multi Agent Reinforcement Learning using MalmÖ
  ☆264Updated 5 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆727Updated 7 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆570Updated 2 years ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆957Updated 3 years ago
• facebookresearch / torchbeast
  A PyTorch Platform for Distributed RL
  ☆752Updated 4 years ago
• google-deepmind / hanabi-learning-environment
  hanabi_learning_environment is a research platform for Hanabi experiments.
  ☆660Updated 2 years ago
• google-deepmind / bsuite
  bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
  ☆1,529Updated last year
• ctallec / world-models
  Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
  ☆648Updated 3 years ago
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆426Updated 4 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆286Updated 2 years ago
• navneet-nmk / pytorch-rl
  This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
  ☆453Updated 6 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• beyretb / AnimalAI-Olympics
  Code repository for the Animal AI Olympics competition
  ☆576Updated 3 years ago