kimbring2 / AlphaStar_Implementation
This project is implementation code of AlphaStar
☆199Updated last year
Alternatives and similar repositories for AlphaStar_Implementation:
Users that are interested in AlphaStar_Implementation are comparing it to the libraries listed below
- (JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play …☆329Updated 2 years ago
- ☆143Updated 4 months ago
- Code for the paper "Phasic Policy Gradient"☆261Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆525Updated last year
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆246Updated 9 months ago
- PyTorch implementation of SAC-Discrete.☆302Updated 9 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆176Updated 9 months ago
- ☆242Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆159Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- Pytorch Implementation of MuZero☆351Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆191Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆417Updated 2 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆211Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆347Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆178Updated 7 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆139Updated 6 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆311Updated 3 years ago
- ☆464Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆299Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆93Updated 4 years ago
- ☆16Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- Qiita投稿用に作成したAgent57(強化学習)の実装コードです。☆44Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆547Updated last year
- Learning-based agent for Google Research Football (足球游戏智能体)☆111Updated 2 years ago