40 Open source projects that are alternatives of or similar to rl-algorithms

Repo for the Deep Reinforcement Learning Nanodegree program

Modeling agents with probabilistic programs

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

A curated list of awesome reinforcement courses, video lectures, books, library and many more.

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

Implementing a RL algorithm based upon a partially observable Markov decision process.

Scalable Implementation of Neural Fictitous Self-Play

A model car learns driving along a track using reinforcement learning

Solving POMDP using Recurrent networks

The Verifiably Safe Reinforcement Learning Framework

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

NMA deep learning course

Solve BipedalWalkerHardcore-v2 with TD3

Python implementation of POMDP framework and PBVI & POMCP algorithms.

Solving board games like Connect4 using Deep Reinforcement Learning

Reinforcement Learning in Vrep

Pytorch Implementation of RL algorithms

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Comparison of bandit algorithms from the Reinforcement Learning bible.

L2RPN Baselines a repository to host baselines for l2rpn competitions.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Learning Continuous Control in Deep Reinforcement Learning

A Universal Deep Reinforcement Learning Framework

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Reinforcement Learning algorithm's using google-colab

An easy-to-use reinforcement learning library for research and education.

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Combining deep learning and reinforcement learning.

Instant neural graphics primitives: lightning fast NeRF and more

Adaptively sampled distance fields in Julia

Basis Function Expansions for Julia

Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Tensorflow 2 Reinforcement Learning Cookbook, published by Packt