Alternatives and similar repositories for cpp-mcts

Users that are interested in cpp-mcts are comparing it to the libraries listed below

• resibots / mcts
  Monte Carlo Tree Search - C++14 implementation
  ☆42Updated 2 years ago
• navneet-nmk / Pytorch-RL-CPP
  A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
  ☆99Updated 6 years ago
• Antymon / ppo_cpp
  C++ version of a Deep Reinforcement Learning algorithm PPO
  ☆35Updated 4 years ago
• michaelbzms / MonteCarloTreeSearch
  A fast C++ impementation of Monte Carlo Tree Search with abstract classes that a user of this library can extend in order to use it. To d…
  ☆47Updated 4 years ago
• BerkeleyAutomation / rlqp
  Accelerating Quadratic Optimization with Reinforcement Learning
  ☆93Updated 3 years ago
• Jiaoyang-Li / Flatland
  Solution of NeurIPS 2020 Flatland Challenge from the team An_old_driver.
  ☆65Updated 3 years ago
• Omegastick / pytorch-cpp-rl
  PyTorch C++ Reinforcement Learning
  ☆524Updated 5 years ago
• kaesve / muzero
  A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…
  ☆162Updated 4 years ago
• MAPF-Competition / PlanViz
  An offline visualization tool for analysing solutions to multi-robot coordination problems.
  ☆40Updated 2 weeks ago
• memoakten / ofxMSAmcts
  A very simple C++ MCTS (Monte Carlo Tree Search) implementation with examples for openFrameworks
  ☆64Updated 9 years ago
• Kautenja / gym-tetris
  An OpenAI Gym interface to Tetris on the NES.
  ☆53Updated 2 years ago
• baskuit / R-NaD
  Experimentation with Regularized Nash Dynamics on a GPU accelerated game
  ☆47Updated 2 years ago
• pockerman / rlenvscpp
  Environments and various utilities for reinforcement learning with C++
  ☆17Updated 2 months ago
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆267Updated 2 months ago
• JoshVarty / AlphaZeroSimple
  The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with
  ☆220Updated 2 years ago
• samindaa / RLLib
  C++ Template Library to Predict, Control, Learn Behaviors, and Represent Learnable Knowledge using On/Off Policy Reinforcement Learning
  ☆206Updated 9 years ago
• araffin / sbx
  SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
  ☆507Updated last week
• johan-gras / MuZero
  A structured implementation of MuZero
  ☆205Updated 3 years ago
• gtri / scrimmage
  Multi-Agent Robotics Simulator
  ☆174Updated last month
• Svalorzen / AI-Toolbox
  A C++ framework for MDPs and POMDPs with Python bindings
  ☆660Updated 6 months ago
• NVlabs / cule
  CuLE: A CUDA port of the Atari Learning Environment (ALE)
  ☆241Updated 2 years ago
• cair / deep-rts
  A Real-Time-Strategy game for Deep Learning research
  ☆234Updated 2 years ago
• andyljones / megastep
  megastep helps you build 1-million FPS reinforcement learning environments on a single GPU
  ☆142Updated 3 years ago
• TensorSwarm / TensorSwarm
  TensorSwarm: A framework for reinforcement learning of robot swarms.
  ☆119Updated 5 years ago
• tuero / muzero-cpp
  A C++ pytorch implementation of MuZero
  ☆40Updated last year
• Farama-Foundation / MAgent2
  An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
  ☆304Updated 7 months ago
• integeruser / gym-uds-api
  An API to access OpenAI Gym from other languages via Unix domain sockets
  ☆18Updated 5 years ago
• MAPF-Competition / Start-Kit
  ☆28Updated last month
• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆62Updated 10 months ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆84Updated 4 years ago