US Army Researchers Develop A New Framework For Collaborative Multi-Agent Reinforcement Learning Systems

Centralized learning for multi-agent systems highly depends on information-sharing mechanisms. However, there have not been significant studies within the research community in...

AI Researchers Including Yoshua Bengio, Introduce A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

Human consciousness is an exceptional ability that enables us to generalize or adapt well to new situations and learn skills or new...

Researchers from ETH Zurich Propose a Novel Robotic Systems Capable of Self-Improving Semantic Perception

Mobile robots are generally deployed in highly unstructured environments. They need to not only understand the various aspects of their environment but...

Researchers from UC Berkeley and CMU Introduce a Task-Agnostic Reinforcement Learning (RL) Method to...

Applying Deep Learning techniques to complex control tasks depends on simulations before transferring models to the real world. However, there is a...

Researchers at ETH Zurich and UC Berkeley Propose Deep Reward Learning by Simulating The...

In Reinforcement Learning (RL), the task specifications are usually handled by experts. It needs a lot of human interaction to Learn from...

Researchers From Microsoft and Princeton University Find Text-Based Agents can Achieve High Scores Even...

Recently, Text-based games have become a popular testing method for developing and testing reinforcement learning (RL). It aims to build autonomous agents...

Researchers at Lawrence Livermore National Laboratory (LLNL) Developed a Novel Deep Learning Framework for...

At the Lawrence Livermore National Laboratory (LLNL), scientists have developed a novel framework and an accompanying visualization tool that utilizes deep reinforcement...

DeepMind Researchers Introduce Manipulation-Independent Representations (MIR) For Successful Cross Embodiment Visual Imitation

Recently, researchers at DeepMind have proposed manipulation-independent representations (MIR) to support successful imitation of behaviors demonstrated by previously unseen manipulator morphologies using...

This California Based Company Is Utilizing AI For The Protection Of Service Members And...

Shield AI is a California-based startup employing artificial intelligence to develop products that offer protection for service members and civilians. It is...

Researchers At Uber AI And Open AI Introduce Go-Explore: Cracking The Challenging Atari Games...

Learning from rewards is an unsaid practice among all. The above is also the guiding insight behind a family of algorithms that...
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