Rongjian Liang's repositories
aircraft_trajectory_optimisation
A simulation project using techniques in reinforcement learning to generate optimal paths for unmanned aircraft.
caffe
Caffe: a fast open framework for deep learning.
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
DeepReinforcementLearningInAction
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
DroneReachContinuous
A mutli-agent environment that simulates multiple drones chasing single or multiple evading goals, in a clutterred environment with moving obstacles.
hello-world
This is a repository to store ideas, resources, or even share and discuss things with others.
How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
PPO_example
This is the code for demonstrating PPO algorithm in ant environment.
quad-swarm-rl
Additional environments compatible with OpenAI gym
SENet
Squeeze-and-Excitation Networks
Single_Agent_FOMDP
This is the Python files for Single Agent FOMDP project. Original code is provided in Jupyter notebook file format.
TF-transformer-tutorial
Making text a first-class citizen in TensorFlow.
UROP-Machine-Learning-project
This is a repository to store my codes for my UROP project in AY2019-20, under the supervision of Prof Shen Lei