-
Updated
Jul 23, 2021 - C++
#
imitation-learning
Here are 192 public repositories matching this topic...
Open-source simulator for autonomous driving research.
simulator
research
ai
computer-vision
deep-learning
cross-platform
deep-reinforcement-learning
artificial-intelligence
ros
self-driving-car
ue4
autonomous-driving
autonomous-vehicles
imitation-learning
unreal-engine-4
carla
carla-simulator
youkaichao
commented
Jul 9, 2020
- I have marked all applicable categories:
- exception-raising bug
- RL algorithm bug
- documentation request (i.e. "X is missing from the documentation.")
- new feature request
- I have visited the [source website], and in particular read the [known issues]
- I have searched through the [issue tracker] and [issue categories] for duplicates
- [ ]
Read more
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
reinforcement-learning
deep-reinforcement-learning
q-learning
dqn
policy-gradient
sarsa
a3c
ddpg
imitation-learning
ppo
-
Updated
Jul 19, 2021 - Jupyter Notebook
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
reinforcement-learning
deep-learning
mxnet
tensorflow
openai-gym
rl
starcraft
imitation-learning
hierarchical-reinforcement-learning
coach
mujoco
starcraft2
onnx
roboschool
carla
starcraft2-ai
distributed-reinforcement-learning
-
Updated
Jun 28, 2021 - Python
BabyAI platform. A testbed for training agents to understand and execute language commands.
-
Updated
Apr 9, 2021 - Python
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
machine-learning
tutorial
reinforcement-learning
deep-reinforcement-learning
q-learning
pomdps
policy-gradient
sarsa
a3c
dynamic-programming
imitation-learning
dyna
td-learning
actor-critic
meta-learning
-
Updated
Jan 22, 2019 - Jupyter Notebook
Self-driving car simulator for the Duckietown universe
-
Updated
Jul 21, 2021 - Python
TensorFlow2 Reinforcement Learning
reinforcement-learning
tensorflow
deep-reinforcement-learning
imitation-learning
inverse-reinforcement-learning
tensorflow2
-
Updated
Jul 15, 2021 - Python
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
machine-learning
reinforcement-learning
tensorflow
ml
rl
lfd
imitation-learning
inverse-reinforcement-learning
learning-from-demonstration
imitation
irl
-
Updated
Apr 13, 2019 - Python
awesome
simulator
reinforcement-learning
code
detection
tutorials
data-collector
self-driving-car
segmentation
ue4
deeplearning
autonomous-vehicles
imitation-learning
driving-cars
traffic-lights
carla
carla-simulator
carla-driving-simulator
carla-data
ros-bridge
-
Updated
Jul 7, 2021
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
-
Updated
Jul 15, 2021 - Python
A curated list of awesome imitation learning resources and publications
-
Updated
Aug 17, 2020
Clean PyTorch implementations of imitation learning algorithms
-
Updated
Jul 22, 2021 - Python
Code for "One-Shot Visual Imitation Learning via Meta-Learning"
-
Updated
Oct 8, 2018 - Python
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
awesome
reinforcement-learning
robotics
simulation
awesome-list
gans
imitation-learning
meta-learning
sim2real
-
Updated
Sep 27, 2020
游戏捏脸,基于神经风格迁移框架生成逼真人脸
-
Updated
Nov 28, 2019 - HLSL
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
reinforcement-learning
bibliography
end-to-end
decision-making
prediction
planning
intention
mdp
mcts
game-theory
behavioral-cloning
interaction
risk-assessment
imitation-learning
inverse-reinforcement-learning
pomdp
decision-making-under-uncertainty
carla
model-based-reinforcement-learning
belief-planning
-
Updated
Dec 15, 2020
[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
-
Updated
Jul 19, 2021 - Python
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
reinforcement-learning
computer-vision
deep-learning
robotics
tensorflow
openai-gym
artificial-intelligence
vision
manipulation
imitation-learning
pybullet
rearrangement
pick-and-place
transporter-nets
-
Updated
Jul 8, 2021 - Python
An OpenAI gym wrapper for CARLA simulator
-
Updated
Apr 23, 2021 - Python
Tensorflow implementation of generative adversarial imitation learning
reinforcement-learning
tensorflow
generative-adversarial-network
imitation-learning
inverse-reinforcement-learning
continuous-control
trpo
gail
-
Updated
Apr 23, 2018 - Python
Pantheon of Congestion Control
-
Updated
Sep 2, 2020 - Python
Falken provides developers with a service that allows them to train AI that can play their games
-
Updated
Jul 7, 2021 - Python
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
-
Updated
May 4, 2021 - Python
A research framework for autonomous driving
-
Updated
Jun 4, 2021 - Python
zxzzz0
commented
Jul 12, 2021
Hi all,
Nice project. We want to start using it. After reading the doc and the config dizoo/competitive_rl/entry/cpong_dqn_default_config.py
for league train, there are still something not clear to us. Do you have a channel that can discuss trivial questions frequently? Like a WeChat group or slack channel?
Open
Agent Demo List
OpenDILab Auto-driving platform
-
Updated
Jul 22, 2021 - Python
Imitation learning algorithms
-
Updated
Jun 25, 2021 - Python
Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action
-
Updated
Nov 14, 2018 - Python
Learning human driver models from NGSIM data with imitation learning.
-
Updated
Feb 10, 2020 - Jupyter Notebook
Improve this page
Add a description, image, and links to the imitation-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the imitation-learning topic, visit your repo's landing page and select "manage topics."