seungeunrho / football-parisLinks
The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141
☆57Updated 4 years ago
Alternatives and similar repositories for football-paris
Users that are interested in football-paris are comparing it to the libraries listed below
Sorting:
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- implementation of distributed reinforcement learning with distributed tensorflow☆56Updated 4 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- ☆69Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- An RL agent for the Google Football environment☆96Updated 3 years ago
- StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX☆71Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 2 months ago
- Random Network Distillation(RND) algo in Pytorch☆49Updated 6 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Updated 2 years ago
- AGAC: Adversarially Guided Actor-Critic☆49Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- ☆144Updated 5 months ago
- It's the pytorch implementation of google research football.☆40Updated 5 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆52Updated 4 years ago
- World Models with A3C on Carracing-v0 in gym☆32Updated 5 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆154Updated 6 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated 3 months ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 2 months ago
- ☆83Updated 4 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated 2 years ago
- General implementation of Advantage Actor Critic using Pytorch☆27Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆25Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 6 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated last month
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year