int8 / monte-carlo-tree-search
Monte carlo tree search in python
☆592Updated 2 years ago
Alternatives and similar repositories for monte-carlo-tree-search:
Users that are interested in monte-carlo-tree-search are comparing it to the libraries listed below
- Python Implementations of Monte Carlo Tree Search☆288Updated 3 years ago
- Board game AI implementations using Monte Carlo Tree Search☆183Updated 4 years ago
- Library for running a Monte Carlo tree search, either traditionally or with expert policies☆121Updated 9 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆668Updated 9 months ago
- An environment of the board game Go using OpenAI's Gym API☆170Updated 2 years ago
- Pytorch Implementation of MuZero☆348Updated last year
- Sokoban environment for OpenAI Gym☆347Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,155Updated 4 years ago
- A collection of multi agent environments based on OpenAI gym.☆588Updated 7 months ago
- A PyTorch Platform for Distributed RL☆747Updated 3 years ago
- A curated list of Monte Carlo tree search papers with implementations.☆664Updated 11 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆730Updated last year
- List of competitions related to Reinforcement Learning☆350Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,060Updated 3 years ago
- Implementation of benchmark RL algorithms☆463Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,178Updated last year
- A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain☆220Updated 8 months ago
- An implementation of Monte Carlo Tree Search in python☆162Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,268Updated last year
- SMAC: The StarCraft Multi-Agent Challenge☆1,151Updated last year
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆541Updated 3 months ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆891Updated last month
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,153Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆692Updated 2 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆593Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆417Updated last year
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆464Updated 10 months ago
- Simple A3C implementation with pytorch + multiprocessing☆629Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,244Updated 5 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆447Updated 3 years ago