Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and…
Real-Time Recurrent Learning using Trace Units in Reinforcement Learningby Esraa Elelimy, Adam White, Michael Bowling,…
Revisiting Safe Exploration in Safe Reinforcement learningby David Eckel, Baohe Zhang, Joschka BödeckerFirst submitted to…
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniquesby Natalia Zhang, Xinqi Wang, Qiwen Cui,…
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planningby Mahsa Khosravi, Matthew Carroll,…
Foundations of Multivariate Distributional Reinforcement Learningby Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark RowlandFirst submitted…
Robust off-policy Reinforcement Learning via Soft Constrained Adversaryby Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin…
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory controlby Zihao…
Risk-averse Total-reward MDPs with ERM and EVaRby Xihong Su, Julien Grand-Clément, Marek PetrikFirst submitted to…
Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learningby Romesh Prasad, Malik…