Zhiyuan Nan's repositories
Code_With_RL
Code With Deep Reinforcement Learning
DI-drive
OpenDILab Auto-driving platform
dmcontrol-generalization-benchmark
DMControl Generalization Benchmark
drift_drl
High-speed Autonomous Drifting with Deep Reinforcement Learning
DRL-robot-navigation
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
fqf-iqn-qrdqn.pytorch
A PyTorch implementation of FQF, IQN and QR-DQN.
gail-airl-ppo.pytorch
A PyTorch implementation of GAIL and AIRL based on PPO.
GDAE
A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments
gym-carla
An OpenAI gym wrapper for CARLA simulator
highway-env
A minimalist environment for decision-making in autonomous driving
Hybrid-DeepRL-Automated-Driving
Integrating Deep Reinforcement Learning with Path planning for Automated Driving
InverseRL-Pytorch
Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation
lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
mbrl-lib
Library for Model Based RL
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
proto
Proto-RL: Reinforcement Learning with Prototypical Representations
pytorch-cifar
95.47% on CIFAR10 with PyTorch
ResNetVAE
Variational AutoEncoder + ResNet Transfer Learning
rl-agents
Implementations of Reinforcement Learning and Planning algorithms
spr
Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
Variational-Recurrent-Models
Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICLR 2020 (https://openreview.net/forum?id=r1lL4a4tDB)
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch