Model-free reinforcement learning for motion planning of autonomous agents with complex tasks in partially observable environments

Related articles

1. Deep Reinforcement Learning-Based Autonomous Navigation for Mobile Robots in Dynamic Environments

   This article has 2 authors:

   1. Lei Deng
   2. Ming Chen

2. Assisting Multi-Agent System Design with MOISE+ and MARL: The MAMAD Method

   This article has 5 authors:

   1. Julien Soulé
   2. Jean-Paul Jamont
   3. Michel Occello
   4. Louis-Marie Traonouez
   5. Paul Théron

3. Investigating Training Efficiency of Direct Scaling in Multi-Agent Reinforcement Learning

   This article has 4 authors:

   1. Brandon Hosley
   2. Bruce Cox
   3. Matthew Robbins
   4. Nicholas Yielding