Rongjian Liang's repositories
DroneReachContinuous
A mutli-agent environment that simulates multiple drones chasing single or multiple evading goals, in a clutterred environment with moving obstacles.
on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
PPO_GAE
This is a demonstration of Proximal Policy Optimization with Generalized Advantage Estimate, using gym environment.
PPO_example
This is the code for demonstrating PPO algorithm in ant environment.
Single_Agent_FOMDP
This is the Python files for Single Agent FOMDP project. Original code is provided in Jupyter notebook file format.
DeepReinforcementLearningInAction
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
quad-swarm-rl
Additional environments compatible with OpenAI gym
TF-transformer-tutorial
Making text a first-class citizen in TensorFlow.
caffe
Caffe: a fast open framework for deep learning.
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
aircraft_trajectory_optimisation
A simulation project using techniques in reinforcement learning to generate optimal paths for unmanned aircraft.
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"
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
hello-world
This is a repository to store ideas, resources, or even share and discuss things with others.
SENet
Squeeze-and-Excitation Networks