Collision Avoidance Robotics Via Meta-Learning (CARML)

16 Jul 2020 Abhiram Iyer Aravind Mahadevan

This paper presents an approach to exploring a multi-objective reinforcement learning problem with Model-Agnostic Meta-Learning. The environment we used consists of a 2D vehicle equipped with a LIDAR sensor... (read more)

PDF Abstract

Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
Experience Replay
Replay Memory
Target Policy Smoothing
Regularization
Clipped Double Q-learning
Off-Policy TD Control
Adam
Stochastic Optimization
ReLU
Activation Functions
Dense Connections
Feedforward Networks
TD3
Policy Gradient Methods