CUN-bjy/policy-distillation-baselines

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Created over 3 years ago
Updated over 3 years ago

CUN-bjy/policy-distillation-baselines

CUN-bjy

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Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.

learning-based-navigation-papers

paper-list of learning-based mobile navigation(especially motion planning & awareness)

lstm-vae-torch

A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

rl-paper-review

road-map & paper review for Reinforcement Learning

gym-ddpg-keras

Keras Implementation of DDPG(Deep Deterministic Policy Gradient) with PER(Prioritized Experience Replay) option on OpenAI gym framework

gym-td3-keras

Keras Implementation of TD3(Twin Delayed DDPG) with PER(Prioritized Experience Replay) option on OpenAI gym framework

WalkYTo-rl-gym

WalkYTo-rl-gym Environment. Walk Yourself, Toddler! Toddlers can learn by deep reinforcement learning now.

mpi3d_real

unofficial backup service for mpi3d_real dataset

WalkYTo

Walk Yourself, Toddler!

CUN-bjy

My personal profile

gym-ppo-pytorch

Pytorch Implementation of PPO(Proximal Policy Optimization) on OpenAI gym framework

simple-ATM-controller

Implementation of Custom Task for Code Tests.

test.github.io

My Personal Site

Darrsm

i.e. Disaster and Rescue Robot Simulation & Modeling

pytorch-adversarial-autoencoder

A simple pytorch implementation of Adversarial Autoencoder(AAE)