Alternatives and similar repositories for DeepRLHacks

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

• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆974Updated 7 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,019Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,468Updated 3 years ago
• jingweiz / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom
  ☆804Updated 5 years ago
• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,587Updated 7 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆646Updated 7 years ago
• DanielTakeshi / Paper_Notes
  This will contain my notes for research papers that I read.
  ☆625Updated 6 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆661Updated 5 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆729Updated 7 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,651Updated 2 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,621Updated 6 years ago
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆835Updated 9 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 8 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆3,039Updated 2 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,757Updated 3 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆570Updated 2 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆779Updated 2 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆930Updated 5 years ago
• mpatacchiola / dissecting-reinforcement-learning
  Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
  ☆624Updated 2 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆618Updated 2 years ago
• awjuliani / DeepRL-Agents
  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
  ☆2,271Updated 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…
  ☆662Updated 6 years ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆957Updated 3 years ago
• kengz / SLM-Lab
  Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
  ☆1,331Updated last week
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆300Updated 6 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 7 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆394Updated 7 years ago
• junhyukoh / deep-reinforcement-learning-papers
  A list of recent papers regarding deep reinforcement learning
  ☆2,202Updated 9 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆830Updated 4 years ago
• ikostrikov / pytorch-a3c
  PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
  ☆1,314Updated 6 years ago