Alternatives and similar repositories for tetris_mcts:

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

• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆375Updated 2 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆266Updated 5 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆399Updated last year
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆277Updated 2 years ago
• opherlieber / rltime
  RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features
  ☆140Updated 5 years ago
• openai / spinningup-workshop
  For educational materials related to the spinning up workshops.
  ☆200Updated 6 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆155Updated 6 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆369Updated 4 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆282Updated 2 years ago
• medipixel / rl_algorithms
  Structural implementation of RL key algorithms
  ☆512Updated 2 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆169Updated 6 years ago
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆370Updated 3 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆894Updated 4 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆562Updated 2 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆165Updated 6 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆162Updated 4 years ago
• imagry / aleph_star
  Reinforcement learning with A* and a deep heuristic
  ☆291Updated 6 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,002Updated 6 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆814Updated 3 years ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆201Updated 3 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,108Updated 7 years ago
• hellochick / FICM
  [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!
  ☆103Updated 2 years ago
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆422Updated 3 years ago
• facebookresearch / torchbeast
  A PyTorch Platform for Distributed RL
  ☆747Updated 3 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆103Updated 6 years ago
• atgambardella / pytorch-es
  Evolution Strategies in PyTorch
  ☆351Updated 7 years ago
• eyounx / RetroCodes
  Codes of our team for the OpenAI Retro Contest of reinforcement learning
  ☆99Updated 6 years ago
• uber-research / ape-x
  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
  ☆189Updated 6 years ago
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆197Updated 6 years ago
• unixpickle / obs-tower2
  My solution to the Unity Obstacle Tower Challenge
  ☆136Updated 3 years ago