Alternatives and similar repositories for python_uct

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

• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated last year
• wulfebw / muzero
  A python implemenation of tabular MuZero for educational purposes
  ☆21Updated 6 years ago
• YuriCat / MuZeroJupyterExample
  ☆66Updated 4 years ago
• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆163Updated 5 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆151Updated 2 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆157Updated 7 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆118Updated 6 years ago
• flyyufelix / C51-DDQN-Keras
  C51-DDQN in Keras
  ☆127Updated 8 years ago
• intel / cerl
  ☆71Updated 3 years ago
• jbradberry / mcts
  Board game AI implementations using Monte Carlo Tree Search
  ☆184Updated 5 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 5 years ago
• ml-jku / rudder
  RUDDER: Return Decomposition for Delayed Rewards
  ☆48Updated 5 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆53Updated 8 years ago
• JKCooper2 / gym-bandits
  Bandits Environments for the OpenAI Gym
  ☆89Updated 6 years ago
• EricSteinberger / DREAM
  Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games
  ☆119Updated last year
• liuanji / WU-UCT
  A novel parallel UCT algorithm with linear speedup and negligible performance loss.
  ☆123Updated 4 years ago
• uber-research / ape-x
  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
  ☆190Updated 6 years ago
• ImparaAI / monte-carlo-tree-search
  Library for running a Monte Carlo tree search, either traditionally or with expert policies
  ☆127Updated last year
• dbobrenko / awesome-rl
  Awesome RL: Papers, Books, Codes, Benchmarks
  ☆119Updated 2 years ago
• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆55Updated 7 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 7 years ago
• RonanFR / UCRL
  ☆27Updated 6 years ago
• brendanator / atari-rl
  Atari - Deep Reinforcement Learning algorithms in TensorFlow
  ☆139Updated last year
• BorealisAI / pommerman-baseline
  Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"
  ☆37Updated 6 years ago
• FelixOpolka / Single-Player-MCTS
  🌳 Python implementation of single-player Monte-Carlo Tree Search.
  ☆67Updated 4 years ago
• jasonrute / puzzle_cube
  Solving the Rubik's cube with deep reinforcement learning and Monte Carlo tree search
  ☆107Updated 6 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆91Updated 6 years ago
• greydanus / baby-a3c
  A high-performance Atari A3C agent in 180 lines of PyTorch
  ☆173Updated 4 years ago
• rubenrtorrado / GVGAI_GYM
  ☆107Updated 6 years ago