RicardoDominguez / RL-Intro
Introduction to Reinforcement Learning in Python
☆13Updated 6 years ago
Alternatives and similar repositories for RL-Intro:
Users that are interested in RL-Intro are comparing it to the libraries listed below
- Prioritized Experience Replay (PER) implementation in PyTorch☆333Updated 5 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆308Updated 4 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,067Updated 3 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,011Updated 2 years ago
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆753Updated 6 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆176Updated 7 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆570Updated 7 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆86Updated last year
- Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)☆541Updated 4 years ago
- Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog☆617Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆689Updated 2 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆678Updated 4 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆107Updated 2 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆113Updated 7 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆407Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,169Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆748Updated last year
- Implementation of proximal policy optimization(PPO) with tensorflow☆35Updated 7 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆626Updated 11 months ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆662Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆311Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆638Updated 2 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆809Updated 3 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆336Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆619Updated 5 years ago
- Constrained Policy Optimization☆317Updated 7 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆651Updated 6 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆560Updated 3 years ago