stevenyangyj Goto Github PK

aes-rl

alfworld-v2

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

ars

An implementation of the Augmented Random Search algorithm

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

berkeley-ai-pacman-projects

My solutions to the UC Berkeley AI Pacman Projects

brainstorm-optimization

A BSO algorithm

cec2013

2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization

continual_world_v2

cotasp

Official code for the paper: Continual Task Allocation in Meta-Policy Network via Sparse Prompting

cppn-wgan

Generative Art Experiments

deep-head-pose-lite

A lite-version hopenet for head pose estimation with PyTorch

deepcf

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

dp_means

Dirichlet Process K-means

ec-cmaes

Demo version Covariance Matrix Adaptation Evolution Strategy (CMAES) is mainly provided for educational purpose: reading, understanding and running basic experiments

emma-alfworld

Official code for the paper: Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld

emo-2019

The codes, data and figures for paper submitted to EMO-2019

facedetection-dsfd

imp

infinite mixture prototypes for few-shot learning

jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

maze-solving-using-a-star-algorithm

In this repository, I have made a maze solving system. The system takes in input of an maze using a camera. This Image is converted into a grid. It lets you find the shortest path between any two points

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

non-sep-benchmark-for-ec

A non-fully separable benchmark function suit for testing optimization algorithm

p3

Official code for the paper: Pareto Policy Pool for Model-based Offline Reinforcement Learning

papers

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

practicalai

📚A practical approach to learning and using machine learning.

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rllearning

The exercising code and some algorithms implementation for the text book "Reinforcement Learning: An Introduction"