hilkoc / AI_ArenaLinks
The purpose of this project is to research Artificial Intelligence and Reinforcement Learning. In the AI Arena, multiple agents can interact with a single environment. After sending its action, each each agent will receive a reward. This allows agents to learn, improve their behavior and to adapt to each other. Interesting phenomena can arise..…
☆34Updated 7 years ago
Alternatives and similar repositories for AI_Arena
Users that are interested in AI_Arena are comparing it to the libraries listed below
Sorting:
- ☆106Updated 5 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- Half Field Offense in Robocup 2D Soccer☆235Updated 3 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- Multi Agent Reinforcement Learning using MalmÖ☆262Updated 5 years ago
- ☆304Updated 2 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆372Updated 2 years ago
- ☆109Updated 3 years ago
- A reinforcement learning framework☆157Updated 6 years ago
- Minecraft environment for Open AI Gym, based on Microsoft's Malmo.☆284Updated 4 years ago
- Sokoban environment for OpenAI Gym☆384Updated last year
- Repo for reproduction of sequential social dilemmas☆406Updated 7 months ago
- A customizable framework to create maze and gridworld environments☆268Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 5 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆101Updated 5 years ago
- A simple stochastic OpenAI environment for training RL agents☆88Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)☆40Updated 5 years ago
- ☆91Updated 4 years ago
- Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.☆134Updated 6 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆384Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Snake-like openAI gym environment, both single and multiagent☆34Updated 5 years ago
- Bandits Environments for the OpenAI Gym☆89Updated 5 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆204Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 5 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆355Updated 6 years ago