Alternatives and similar repositories for modular_rl

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

• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆713Updated 6 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆361Updated 5 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆274Updated 7 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆427Updated last year
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆406Updated 8 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆394Updated 6 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 6 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆299Updated 6 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆404Updated 8 years ago
• openai / gym-soccer
  ☆303Updated 2 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆345Updated 6 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆214Updated 7 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆569Updated 2 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆615Updated 2 years ago
• floodsung / DDPG
  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
  ☆563Updated 3 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆606Updated 8 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆723Updated 7 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 7 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,441Updated 2 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,112Updated 7 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆420Updated 6 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,007Updated 6 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 7 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆904Updated 4 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆968Updated 6 years ago
• ugo-nama-kun / gym_torcs
  ☆414Updated 7 years ago
• ikostrikov / pytorch-ddpg-naf
  Implementation of algorithms for continuous control (DDPG and NAF).
  ☆309Updated 4 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 5 years ago
• Kaixhin / ACER
  Actor-critic with experience replay
  ☆254Updated 2 years ago