Alternatives and similar repositories for tetrisRL:

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

• greydanus / visualize_atari
  Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
  ☆120Updated 3 years ago
• MG2033 / A2C
  A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
  ☆181Updated 6 years ago
• Kautenja / gym-tetris
  An OpenAI Gym interface to Tetris on the NES.
  ☆51Updated last year
• lusob / gym-tetris
  Tetris OpenAI environment
  ☆28Updated 6 years ago
• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆275Updated 4 years ago
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆171Updated 3 years ago
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆246Updated 6 years ago
• jcwleo / mario_rl
  ☆69Updated 6 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆103Updated 5 years ago
• Nasdin / ReinforcementLearning-AtariGame
  Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…
  ☆181Updated 5 months ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆51Updated 7 years ago
• alexis-jacq / Pytorch-DPPO
  Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
  ☆181Updated 6 years ago
• Damcy / prioritized-experience-replay
  implement of prioritized experience replay
  ☆160Updated 6 years ago
• xinleipan / gym-gridworld
  Simple grid-world environment compatible with OpenAI-gym
  ☆49Updated 4 years ago
• uber-research / ape-x
  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
  ☆189Updated 5 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 5 years ago
• MartinThoma / banana-gym
  A simple stochastic OpenAI environment for training RL agents
  ☆89Updated 2 years ago
• lusob / gym-ple
  This package allows to use PLE as a gym environment.
  ☆72Updated 4 years ago
• createamind / DRL
  ☆92Updated 4 years ago
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆175Updated 7 years ago
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆207Updated 6 years ago
• rubenrtorrado / GVGAI_GYM
  ☆102Updated 5 years ago
• google-research / episodic-curiosity
  Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
  ☆203Updated 4 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 6 years ago
• rgilman33 / simple-A2C-PPO
  Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.
  ☆103Updated 5 years ago
• go2sea / DQfD
  An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…
  ☆133Updated 7 years ago
• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆262Updated 5 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆147Updated 2 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆169Updated 6 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago