Alternatives and similar repositories for tetris_mcts:

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

• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆370Updated 4 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆893Updated 4 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆374Updated 2 years ago
• google-deepmind / hanabi-learning-environment
  hanabi_learning_environment is a research platform for Hanabi experiments.
  ☆649Updated 2 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆399Updated last year
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆155Updated 6 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆266Updated 5 years ago
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆369Updated 3 years ago
• atgambardella / pytorch-es
  Evolution Strategies in PyTorch
  ☆352Updated 7 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,000Updated 6 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆769Updated last year
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆421Updated 3 years ago
• medipixel / rl_algorithms
  Structural implementation of RL key algorithms
  ☆512Updated last year
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆557Updated 4 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆810Updated 3 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,106Updated 7 years ago
• facebookresearch / torchbeast
  A PyTorch Platform for Distributed RL
  ☆746Updated 3 years ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆633Updated 2 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆283Updated 2 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆276Updated 2 years ago
• ctallec / world-models
  Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
  ☆600Updated 2 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆362Updated 4 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆165Updated 6 years ago
• Zeta36 / connect4-alpha-zero
  Connect4 reinforcement learning by AlphaGo Zero methods.
  ☆114Updated 3 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆561Updated 2 years ago
• mrahtz / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆317Updated 3 years ago
• NVlabs / cule
  CuLE: A CUDA port of the Atari Learning Environment (ALE)
  ☆236Updated 2 years ago
• navneet-nmk / pytorch-rl
  This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
  ☆444Updated 5 years ago
• seungjaeryanlee / awesome-rl-competitions
  List of competitions related to Reinforcement Learning
  ☆352Updated last year
• google-research / episodic-curiosity
  Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
  ☆203Updated 4 years ago