batuhan-ince / RL_pysc2
DRL algorithms for Starcraft II
☆8Updated 4 years ago
Alternatives and similar repositories for RL_pysc2:
Users that are interested in RL_pysc2 are comparing it to the libraries listed below
- StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)☆136Updated 6 years ago
- Random Network Distillation pytorch☆246Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- ☆142Updated 3 months ago
- Simple Cartpole example writed with pytorch.☆166Updated 5 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆104Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- Implementing reinforcement-learning algorithms for pysc2 -environment☆89Updated 7 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆69Updated 3 years ago
- Tutorials for building a PySC2 bot☆291Updated 2 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆211Updated last year
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆153Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆56Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆195Updated 2 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆72Updated 5 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆156Updated 2 years ago
- A customizable framework to create maze and gridworld environments☆262Updated 5 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆82Updated 3 years ago
- Example code for PySC2☆14Updated 6 years ago
- List of competitions related to Reinforcement Learning☆351Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆122Updated 7 months ago
- Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.☆132Updated 5 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated 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