research
∙
02/23/2023
Revisiting the Gumbel-Softmax in MADDPG
MADDPG is an algorithm in multi-agent reinforcement learning (MARL) that...
share
research
∙
02/07/2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Cooperative multi-agent reinforcement learning (MARL) requires agents to...
research
∙
12/22/2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
This project leverages advances in multi-agent reinforcement learning (M...
research
∙
09/28/2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Equilibrium selection in multi-agent games refers to the problem of sele...
research
∙
08/02/2022
Deep Reinforcement Learning for Multi-Agent Interaction
The development of autonomous agents which can interact with other agent...
research
∙
07/28/2022
Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates
Ad hoc teamwork (AHT) is the problem of creating an agent that must coll...
research
∙
05/17/2022
MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments
We present MIDGARD, an open source simulation platform for autonomous ro...
research
∙
09/30/2019
Stabilizing Generative Adversarial Network Training: A Survey
Generative Adversarial Networks (GANs) are a type of Generative Models, ...
research
∙
06/11/2019
