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actorcritic-ece586-project

Implementation of the actor critic algorithm for MountainCarContinuous-v0 OpenAI gym environment.

autonomous-systems

In this project, it is intended to learn and get familiar with the concepts of Reinforcement Learning (RL) by modeling agents with actor-critic and rainbow-dqn algorithms. Two continuous Unity Machine Learning Agents domains are chosen to realize this project.

cartpole-v1-actor-critic-keras

Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

complab2

computervision

cropyield

d4pg

PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

ddpg_numpy_only

Implemenation of DDPG with numpy only (without Tensorflow)

deep-learning-cheatsheet

etc

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

google-research

Google Research

home

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

imperativeactionmasking

keras-io

Keras documentation, hosted live at keras.io

letusc

magnets

multi-agent-deep-deterministic-policy-gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

next13-airbnb-clone

prsbc

reinforcement-learning-implementation

Implementation of Reinforcement Algorithms from scratch

safe-rl-shielding

safeaipapers

safereinforcementlearning

simple-neural-network-with-numpy

Simple Neural Network in Python

simplest-world-actor-critic

Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world

soft-actor-critic

PyTorch Implementation of Soft Actor-Critic Algorithm

soft-actor-critic-and-extensions

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.