A selection of state-of-the-art research materials on trajectory prediction
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Updated
Sep 28, 2024 - TeX
A selection of state-of-the-art research materials on trajectory prediction
Multi-Agent Reinforcement Learning (MARL) papers
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Implementation for the paper "Multiagent Learning Using a Variable Learning Rate"
A Study on Reinforcement Learning in Starcraft Game Platform as a Collaborative Researcher of Samsung Company.
Multi-Agent Communication in RL systems
Resource Abstraction (AAMAS 2016)
Comparative system for multiagent algorithms with different learning strategies. The analysis is carries with the helps of a nash equilibria comparison, the replicator dynamic and a simple grand table with the average reward obtained.
Explore a unique Unity-powered simulation where food appears randomly and a set of 5 characters seeks it optimally. Melding advanced simulations with a Python backend, NomNomSimulator offers a glimpse into intelligent navigation. Dive into the future of dynamic food-finding adventures.
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