kaixianglin Goto Github PK

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

awesome_tensorflow_implementations

baselines-results

category-based-dynamic-recommendations-adaptive-to-user-interest-drift

Undergraduate Thesis

cdrl

Collaborative Deep Reinforcement Learning

cogvlm

a state-of-the-art-level open visual language model | 多模态预训练模型

cpo

Constrained Policy Optimization

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

cse847-2016spring

Michigan State University CSE847 Spring 2015

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deeprlhacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

evalai-starters

How to create a challenge on EvalAI?

faers-datapreprocesser

FAERS data process

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

federated-learning

fista_exercise

gym-maze

A customizable gym environment for maze/gridworld

hh-rlhf

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

imtl

interactive Multi-Task Learning

kaixianglin

Config files for my GitHub profile.

kaixianglin.github.io

Personal website.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lantaoyu.github.io

Github Pages template for academic personal websites

luminous

magnet

MAGNet: Multi-agents control using Graph Neural Networks

mend

MEND: Fast Model Editing at Scale

ml-agents

Unity Machine Learning Agents Toolkit

moca

MOCA (Modular Object-Centric Approach) addresses the task of long horizon instruction following with a modular architecture that decouples a task into visual perception and action policy prediction.