Deep Reinforcement Learning Project 2
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Updated
Mar 25, 2023 - Python
Deep Reinforcement Learning Project 2
Contains PyTorch Implementation of the following off policy actor critic algorithms
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
Weakly supervised RL with safety cages for autonomous highway driving
Exploring different buffer sampling techniques to improve Hindisght Experience Replay on continuous control robotic application tasks. Continous action spaces & sparse rewards.
Contains deep reinforcement learning algorithms I have implemented.
PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradient (TD3) - including additional Extension to improve the algorithm's performance.
GSC: Generalizable Service Coordination
Deep Learning Spring 2023 @ NYCU
This work builds on top of mujoco-powered robosuite framework, and is designed for learning object-agnostic control policy for pick-and-place operations on a novel 6-DoF parallel manipulator using deep reinforcement learning. This pipeline utilizes DDPG combined with HER algorithm for training a robust manipulation policy.
Personal Collection of Reinforcement Learning Algorithms. So far: Parallelized DDPG,...
Mujoco Hopper agent with DDPG
A Deep Reinforcement Learning (DeepRL) package for RL algorithm developers.
Udacity's Deep Reinforcement Learning course
Lightweight deep RL Libraray for continuous control.
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