Alternatives and similar repositories for dqn

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

• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆643Updated 7 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆661Updated 5 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆394Updated 7 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆826Updated 2 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆927Updated 5 years ago
• floodsung / DDPG
  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
  ☆572Updated 4 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,468Updated 3 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆570Updated 2 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,016Updated 6 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
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,659Updated 3 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆388Updated 2 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆729Updated 7 years ago
• openai / gym-soccer
  ☆304Updated 2 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆618Updated 2 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆435Updated 2 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,756Updated 3 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆300Updated 6 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆276Updated 7 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆778Updated 2 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆727Updated 8 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,389Updated 2 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,620Updated 6 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆406Updated 8 years ago
• MorvanZhou / pytorch-A3C
  Simple A3C implementation with pytorch + multiprocessing
  ☆658Updated 2 years ago
• haarnoja / sac
  Soft Actor-Critic
  ☆1,195Updated 2 years ago
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,193Updated 3 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆972Updated 7 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆830Updated 4 years ago