Alternatives and similar repositories for DeepRL-Agents

Users that are interested in DeepRL-Agents are comparing it to the libraries listed below

• devsisters / DQN-tensorflow
  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
  ☆2,570Updated 6 years ago
• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,586Updated 7 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆3,038Updated 2 years ago
• junhyukoh / deep-reinforcement-learning-papers
  A list of recent papers regarding deep reinforcement learning
  ☆2,201Updated 9 years ago
• tensorforce / tensorforce
  Tensorforce: a TensorFlow library for applied reinforcement learning
  ☆3,315Updated last year
• keon / deep-q-learning
  Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
  ☆1,312Updated 5 years ago
• rlcode / reinforcement-learning
  Minimal and Clean Reinforcement Learning Examples
  ☆3,612Updated 2 years ago
• keras-rl / keras-rl
  Deep Reinforcement Learning for Keras.
  ☆5,558Updated 2 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,468Updated 3 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,123Updated 8 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,620Updated 6 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,757Updated 3 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,644Updated 2 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,659Updated 4 years ago
• ShangtongZhang / DeepRL
  Modularized Implementation of Deep RL Algorithms in PyTorch
  ☆3,396Updated last year
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,106Updated 7 years ago
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆835Updated 9 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆624Updated 8 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆701Updated 6 years ago
• google-deepmind / trfl
  TensorFlow Reinforcement Learning
  ☆3,137Updated 3 years ago
• vmayoral / basic_reinforcement_learning
  An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
  ☆1,200Updated 2 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆727Updated 8 years ago
• higgsfield / RL-Adventure
  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
  ☆3,156Updated 4 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆643Updated 7 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆972Updated 7 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆661Updated 5 years ago
• ikostrikov / pytorch-a3c
  PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
  ☆1,310Updated 6 years ago
• tigerneil / awesome-deep-rl
  For deep RL and the future of AI.
  ☆1,501Updated last year
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 7 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