Summary of An Information Theoretic Approach to Interaction-grounded Learning, by Xiaoyan Hu et al.
An Information Theoretic Approach to Interaction-Grounded Learningby Xiaoyan Hu, Farzan Farnia, Ho-fung LeungFirst submitted to…
Summary of Taming “data-hungry” Reinforcement Learning? Stability in Continuous State-action Spaces, by Yaqi Duan et al.
Taming “data-hungry” reinforcement learning? Stability in continuous state-action spacesby Yaqi Duan, Martin J. WainwrightFirst submitted…
Summary of Deep Reinforcement Multi-agent Learning Framework For Information Gathering with Local Gaussian Processes For Water Monitoring, by Samuel Yanes Luis et al.
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoringby…
Summary of Learn Once Plan Arbitrarily (lopa): Attention-enhanced Deep Reinforcement Learning Method For Global Path Planning, by Guoming Huang et al.
Learn Once Plan Arbitrarily (LOPA): Attention-Enhanced Deep Reinforcement Learning Method for Global Path Planningby Guoming…
Summary of Curiosity & Entropy Driven Unsupervised Rl in Multiple Environments, by Shaurya Dewan et al.
Curiosity & Entropy Driven Unsupervised RL in Multiple Environmentsby Shaurya Dewan, Anisha Jain, Zoe LaLena,…
Summary of Guiding Drones by Information Gain, By Alouette Van Hove et al.
Guiding drones by information gainby Alouette van Hove, Kristoffer Aalstad, Norbert PirkFirst submitted to arxiv…
Summary of Behavioural Cloning in Vizdoom, by Ryan Spick et al.
Behavioural Cloning in VizDoomby Ryan Spick, Timothy Bradley, Ayush Raina, Pierluigi Vito Amadori, Guy MossFirst…
Summary of Long-term Safe Reinforcement Learning with Binary Feedback, by Akifumi Wachi et al.
Long-term Safe Reinforcement Learning with Binary Feedbackby Akifumi Wachi, Wataru Hashimoto, Kazumune HashimotoFirst submitted to…
Summary of A Tensor Network Implementation Of Multi Agent Reinforcement Learning, by Sunny Howard
A Tensor Network Implementation of Multi Agent Reinforcement Learningby Sunny HowardFirst submitted to arxiv on:…
Summary of Inverse Reinforcement Learning with Sub-optimal Experts, by Riccardo Poiani et al.
Inverse Reinforcement Learning with Sub-optimal Expertsby Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello RestelliFirst…