Alternatives and similar repositories for RL-practice-keras

Users that are interested in RL-practice-keras are comparing it to the libraries listed below

• shakti365 / soft-actor-critic
  TF2 Implementation of the Soft Actor-Critic Algorithm
  ☆44Updated 2 years ago
• yilunc2020 / Attention-DQN
  Deep Recurrent Attention Reinforcement Learning in Atari
  ☆85Updated 6 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆61Updated 4 years ago
• gopala-kr / DRL-Agents
  research and implementations of Deep RL agents and their applications
  ☆50Updated 2 weeks ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆118Updated 6 months ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• kazizzad / BDQN-MxNet-Gluon
  Efficient Exploration through Bayesian Deep Q-Networks
  ☆37Updated 7 years ago
• 0b01 / CommNet
  PyTorch implementation of CommNet
  ☆36Updated 7 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆72Updated 7 years ago
• createamind / DRL
  ☆92Updated 4 years ago
• brett-daley / dqn-lambda
  NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
  ☆23Updated 11 months ago
• wendelinboehmer / dcg
  ☆76Updated 11 months ago
• chagmgang / tf2.0_reinforcement_learning
  Basic reinforcement learning implementation with tensorflow version 2.0
  ☆52Updated 5 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆45Updated 4 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆94Updated 2 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• intel / cerl
  ☆72Updated 2 years ago
• rpatrik96 / AttA2C
  Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
  ☆27Updated 5 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆102Updated 4 years ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆125Updated 5 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 4 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆49Updated 4 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆95Updated 4 years ago
• wwxFromTju / deepmind_MAS_enviroment
  some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…
  ☆128Updated 2 years ago
• PKU-RL / FEN
  FEN Code
  ☆37Updated 5 years ago
• ml3705454 / mapr2
  ☆44Updated 2 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆70Updated last year
• kushagra06 / SAC
  Pytorch implementation of Soft Actor-Critic
  ☆18Updated 5 years ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆60Updated 6 years ago