int8 / monte-carlo-tree-search
Monte carlo tree search in python
☆576Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for monte-carlo-tree-search
- Python Implementations of Monte Carlo Tree Search☆249Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,054Updated 3 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆529Updated 3 weeks ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,222Updated 11 months ago
- Board game AI implementations using Monte Carlo Tree Search☆183Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,107Updated 3 years ago
- A curated list of Monte Carlo tree search papers with implementations.☆645Updated 8 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆654Updated 6 months ago
- A PyTorch Platform for Distributed RL☆738Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆558Updated last year
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆710Updated 10 months ago
- Simple A3C implementation with pytorch + multiprocessing☆622Updated last year
- An implementation of Monte Carlo Tree Search in python☆162Updated 4 years ago
- Reinforcement Learning in PyTorch☆2,232Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆666Updated 3 years ago
- A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain☆208Updated 5 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,256Updated 2 years ago
- Implementation of benchmark RL algorithms☆459Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆433Updated 6 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆534Updated last year
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆250Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,130Updated 11 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,504Updated 5 months ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,107Updated 9 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆305Updated 4 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆589Updated 6 months ago
- Soft Actor-Critic☆1,006Updated 11 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year