kimbring2 / AlphaStar_Implementation
This project is implementation code of AlphaStar
☆195Updated 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 …☆327Updated 2 years ago
- ☆140Updated 2 months ago
- PyTorch implementation of SAC-Discrete.☆296Updated 6 months ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆238Updated 7 months ago
- ☆232Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆169Updated 6 months ago
- Code for the paper "Phasic Policy Gradient"☆259Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆175Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆515Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆154Updated 2 years ago
- ☆3Updated 2 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- ☆454Updated 2 years ago
- (AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game…☆24Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Pytorch Implementation of MuZero☆348Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆171Updated 5 months ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆115Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆113Updated 3 months ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆130Updated 4 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆128Updated 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
- Keeping track of RL experiments☆160Updated 2 years ago
- Random Network Distillation pytorch☆243Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆202Updated 5 years ago
- Code for conservative Q-learning☆424Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆168Updated 2 months ago