Summary of Online Policy Distillation with Decision-attention, by Xinqiang Yu et al.
Online Policy Distillation with Decision-Attentionby Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An,…
Summary of Reinforcement Learning For Intensity Control: An Application to Choice-based Network Revenue Management, by Huiling Meng et al.
Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Managementby Huiling Meng, Ningyuan…
Summary of Massively Multiagent Minigames For Training Generalist Agents, by Kyoung Whan Choe et al.
Massively Multiagent Minigames for Training Generalist Agentsby Kyoung Whan Choe, Ryan Sullivan, Joseph SuárezFirst submitted…
Summary of Optimizing Automatic Differentiation with Deep Reinforcement Learning, by Jamie Lohoff and Emre Neftci
Optimizing Automatic Differentiation with Deep Reinforcement Learningby Jamie Lohoff, Emre NeftciFirst submitted to arxiv on:…
Summary of Skill-aware Mutual Information Optimisation For Generalisation in Reinforcement Learning, by Xuehui Yu et al.
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learningby Xuehui Yu, Mhairi Dunion, Xin Li,…
Summary of Primitive Agentic First-order Optimization, by R. Sala
Primitive Agentic First-Order Optimizationby R. SalaFirst submitted to arxiv on: 7 Jun 2024CategoriesMain: Machine Learning…
Summary of Stabilizing Extreme Q-learning by Maclaurin Expansion, By Motoki Omura et al.
Stabilizing Extreme Q-learning by Maclaurin Expansionby Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya HaradaFirst submitted…
Summary of On Minimizing Adversarial Counterfactual Error in Adversarial Rl, by Roman Belaire et al.
On Minimizing Adversarial Counterfactual Error in Adversarial RLby Roman Belaire, Arunesh Sinha, Pradeep VarakanthamFirst submitted…
Summary of Reinforcement Learning and Regret Bounds For Admission Control, by Lucas Weber et al.
Reinforcement Learning and Regret Bounds for Admission Controlby Lucas Weber, Ana Bušić, Jiamin ZhuFirst submitted…
Summary of Optimization Of Geological Carbon Storage Operations with Multimodal Latent Dynamic Model and Deep Reinforcement Learning, by Zhongzheng Wang et al.
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learningby…