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neilwth's Projects

deep_rl icon deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

hierarchical-marl icon hierarchical-marl

Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

multiagent-particle-envs icon multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

multiagent-rl icon multiagent-rl

The official code releasement of publications in MARL field of TJU RL lab.

pytorch-actorcriticrl icon pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

rl-adventure-2 icon rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

solution-to-equations-of-motion-for-underwater-glider icon solution-to-equations-of-motion-for-underwater-glider

Equations of motion towards underwater glider were formulated at Princeton by Graver in his PhD work in 2005.Various marine engineers use them to develop different guidance, navigation and control system towards efficient functioning of the glider.This code simulates the results of Graver (2005) towards solving equations of motion of underwater glider. The MATLAB code is properly commented for the input parameters to be used in simulation of glider motion. Our request is just to cite our code in your work where you are using the MATLAB code.

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