kimbring2 / AlphaStar_Implementation
This project is implementation code of AlphaStar
☆187Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for AlphaStar_Implementation
- (JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play …☆314Updated 2 years ago
- ☆136Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆295Updated 2 years ago
- Pytorch Implementation of MuZero☆343Updated 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…☆190Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆133Updated 5 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆149Updated last year
- ☆216Updated 9 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆161Updated 2 months ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆233Updated 4 months ago
- A parallel framework for population-based multi-agent reinforcement learning.☆497Updated 11 months ago
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆281Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆574Updated 4 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆191Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆172Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆327Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆331Updated last year
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆101Updated 3 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆130Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆111Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- Random Network Distillation pytorch☆241Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆134Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆203Updated last year
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆152Updated 5 months ago