feizhihui / Reinforcement-Learning-From-ScratchLinks
Reinforcement learning demo with slides in David Silver RL lectures
☆13Updated 7 years ago
Alternatives and similar repositories for Reinforcement-Learning-From-Scratch
Users that are interested in Reinforcement-Learning-From-Scratch are comparing it to the libraries listed below
Sorting:
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- Code repository for my course on the fundamentals of reinforcement learning☆94Updated 6 years ago
- Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem☆23Updated 6 years ago
- Gridworld environments for OpenAI gym.☆80Updated last year
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆49Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- Emergence of complex strategies through multiagent competition☆44Updated 2 years ago
- Value iteration, policy iteration, and Q-Learning in a grid-world MDP.☆29Updated last year
- PPO Dash: Improving Generalization in Deep Reinforcement Learning☆16Updated 5 years ago
- OpenAI gym-based algorithm for the grid world problem☆28Updated 4 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 7 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- ☆92Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆62Updated last year
- ☆77Updated 7 years ago
- Simple Grid Environment for Gymnasium☆59Updated 4 months ago
- A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment☆92Updated 6 years ago
- Hands-On Reinforcement Learning for Games, published by Packt☆60Updated 2 years ago
- Evolving deep neural network agents using Genetic Algorithms☆67Updated 6 years ago
- This repository contains the game bubble shooter as a gym environment. Based on: https://github.com/justinmeister/bubbleshooter☆17Updated 5 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆73Updated 5 years ago
- RL algorithm implementations from scratch.☆18Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆77Updated 4 years ago
- 🐲 Stanford CS234 : Reinforcement Learning☆25Updated 6 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- ☆20Updated 4 years ago
- A 2D Particle Survival Environment for Deep Reinforcement Learning☆25Updated 5 years ago