haroldsultan / MCTS
Python Implementations of Monte Carlo Tree Search
☆284Updated 3 years ago
Alternatives and similar repositories for MCTS:
Users that are interested in MCTS are comparing it to the libraries listed below
- A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain☆220Updated 7 months ago
- Simple A3C implementation with pytorch + multiprocessing☆624Updated last year
- Implementation of benchmark RL algorithms☆463Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆513Updated last year
- Monte carlo tree search in python☆591Updated 2 years ago
- ☆159Updated last year
- An implementation of Monte Carlo Tree Search in python☆162Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆728Updated last year
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆287Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆543Updated 7 years ago
- xingtian is a componentized library for the development and verification of reinforcement learning algorithms☆309Updated last year
- PyTorch implementation of Trust Region Policy Optimization☆435Updated 6 years ago
- PyTorch implementation of SAC-Discrete.☆294Updated 6 months ago
- Collection of Deep Reinforcement Learning algorithms☆124Updated 7 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,141Updated 3 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆611Updated 8 months ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆605Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆681Updated last year
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆466Updated 6 years ago
- Implementation of Machine Learning Algorithms☆404Updated 5 years ago
- A collection of multi agent environments based on OpenAI gym.☆585Updated 6 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,057Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆340Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆480Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,257Updated last year
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆209Updated last year
- Code for conservative Q-learning☆421Updated 3 years ago
- PyTorch implementation of soft actor critic☆848Updated 3 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆678Updated 10 months ago
- Implementations of selected inverse reinforcement learning algorithms.☆991Updated 2 years ago