Jianmin Ji

Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model

2023

Deep reinforcement learning (DRL) algorithms have proven effective in robot navigation, especially in unknown environments, by directly mapping perception inputs into robot control commands. However, most existing methods ignore the local minimum problem in navigation …

MVP-MCTS: Language Modelling a Flexible Multi-Agent Planning Framework

2024

Large language models have come under the spotlight in recent years for their seemingly multifaceted capabilities which extend far beyond text processing. In particular, they have been shown to possess logical and reasoning capabilities, which …