chengliu-LR
Artificial Intelligence, Reinforcement Learning, Drone Robots.
Delft University of TechnologyKluyverweg 1, 2629HS Delft, Netherlands
chengliu-LR's Stars
bulletphysics/pybullet_robots
Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)
bulletphysics/bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
openai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
sfujim/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
hbd730/quadcopter-simulation
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
nikhilbarhate99/Hierarchical-Actor-Critic-HAC-PyTorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
google-research/realworldrl_suite
Real-World RL Benchmark Suite
gsurma/atari
AI research environment for the Atari 2600 games 🤖.
PaoPaoRobot/ICRA2020-paper-list
ICRA2020 paperlist by paopaorobot
Farama-Foundation/Miniworld
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
MattChanTK/gym-maze
A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
philtabor/Deep-Q-Learning-Paper-To-Code
adithya-subramanian/Dueling-Double-Q-Network
A Dueling Double Q-Network Implementation for solving RL environments in PyTorch
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Nat-D/FeatureControlHRL
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
florensacc/rllab-curriculum
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
cyoon1729/Policy-Gradient-Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
cyoon1729/deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
astooke/rlpyt
Reinforcement Learning in PyTorch
kpaonaut/HAAR-A-Hierarchical-RL-Algorithm
Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
florensacc/snn4hrl
Stochastic Neural Networks for Hierarchical Reinforcement Learning
ikostrikov/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).