Summary of Using Reinforcement Learning to Improve Drone-based Inference Of Greenhouse Gas Fluxes, by Alouette Van Hove et al.
Using reinforcement learning to improve drone-based inference of greenhouse gas fluxesby Alouette van Hove, Kristoffer…
Summary of Decentralized Federated Policy Gradient with Byzantine Fault-tolerance and Provably Fast Convergence, by Philip Jordan et al.
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergenceby Philip Jordan, Florian Grötschla,…
Summary of Decision Making in Non-stationary Environments with Policy-augmented Search, by Ava Pettet et al.
Decision Making in Non-Stationary Environments with Policy-Augmented Searchby Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle…
Summary of On Sample-efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond, by Thanh Nguyen-tang and Raman Arora
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyondby Thanh Nguyen-Tang, Raman AroraFirst…
Summary of Moto: Offline Pre-training to Online Fine-tuning For Model-based Robot Learning, by Rafael Rafailov et al.
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learningby Rafael Rafailov, Kyle Hatch, Victor…
Summary of Spqr: Controlling Q-ensemble Independence with Spiked Random Model For Reinforcement Learning, by Dohyeok Lee et al.
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learningby Dohyeok Lee, Seungyub Han,…
Summary of Haim-drl: Enhanced Human-in-the-loop Reinforcement Learning For Safe and Efficient Autonomous Driving, by Zilin Huang et al.
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Drivingby Zilin Huang, Zihao Sheng,…
Summary of An Empirical Investigation Of Value-based Multi-objective Reinforcement Learning For Stochastic Environments, by Kewen Ding et al.
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environmentsby Kewen Ding, Peter Vamplew,…
Summary of A Unified Uncertainty-aware Exploration: Combining Epistemic and Aleatory Uncertainty, by Parvin Malekzadeh et al.
A unified uncertainty-aware exploration: Combining epistemic and aleatory uncertaintyby Parvin Malekzadeh, Ming Hou, Konstantinos N.…
Summary of Glide-rl: Grounded Language Instruction Through Demonstration in Rl, by Chaitanya Kharyal and Sai Krishna Gottipati and Tanmay Kumar Sinha and Srijita Das and Matthew E. Taylor
GLIDE-RL: Grounded Language Instruction through DEmonstration in RLby Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Kumar…