Our final session at CPAIOR contains a varied number of topics: learning, algorithm configuration and MDPs. As a suprise speaker, Bistra Dilkina is presenting the work "Accelerated Discovery of Set Cover Solutions via Graph Neural Networks" as the authors were unavailable.
doi.org/10.1007/978-...
doi.org/10.1007/978-...
November 13, 2025 at 4:35 AM
Our final session at CPAIOR contains a varied number of topics: learning, algorithm configuration and MDPs. As a suprise speaker, Bistra Dilkina is presenting the work "Accelerated Discovery of Set Cover Solutions via Graph Neural Networks" as the authors were unavailable.
doi.org/10.1007/978-...
doi.org/10.1007/978-...
Also I think it's very funny I keep thinking of myself as a mdps main because that's what I started as - when I was already switching to tanks by next year.
It makes sense, I switched fully by Endwalker (Dec 2021) because dps queues sucked solo, but it feels insane to say 'Endwalker 4 years ago'.
It makes sense, I switched fully by Endwalker (Dec 2021) because dps queues sucked solo, but it feels insane to say 'Endwalker 4 years ago'.
November 8, 2025 at 4:15 PM
Also I think it's very funny I keep thinking of myself as a mdps main because that's what I started as - when I was already switching to tanks by next year.
It makes sense, I switched fully by Endwalker (Dec 2021) because dps queues sucked solo, but it feels insane to say 'Endwalker 4 years ago'.
It makes sense, I switched fully by Endwalker (Dec 2021) because dps queues sucked solo, but it feels insane to say 'Endwalker 4 years ago'.
Chapters 1-7 of our forthcoming book “Markov Decision Processes and Reinforcement Learning” by Puterman and Chan can be dowloaded at:
github.com/martyput/MDP....
They cover model foundations, and MDPs. Please share comments and/or typos ASAP.
#orms #AI #ReinforcementLearning
github.com/martyput/MDP....
They cover model foundations, and MDPs. Please share comments and/or typos ASAP.
#orms #AI #ReinforcementLearning
September 25, 2025 at 5:06 PM
Chapters 1-7 of our forthcoming book “Markov Decision Processes and Reinforcement Learning” by Puterman and Chan can be dowloaded at:
github.com/martyput/MDP....
They cover model foundations, and MDPs. Please share comments and/or typos ASAP.
#orms #AI #ReinforcementLearning
github.com/martyput/MDP....
They cover model foundations, and MDPs. Please share comments and/or typos ASAP.
#orms #AI #ReinforcementLearning
State Discretization for Continuous-State MDPs in Infectious Disease Control
https://arxiv.org/abs/2404.12540
https://arxiv.org/abs/2404.12540
October 8, 2024 at 3:46 PM
State Discretization for Continuous-State MDPs in Infectious Disease Control
https://arxiv.org/abs/2404.12540
https://arxiv.org/abs/2404.12540
Discover how Anc-VI converges to fixed points in undiscounted MDPs (γ = 1), addressing challenges typically overlooked in traditional DP and RL theory. #reinforcementlearning
Why Anc-VI is Crucial for Undiscounted Reinforcement Learning
hackernoon.com
January 14, 2025 at 10:56 PM
Discover how Anc-VI converges to fixed points in undiscounted MDPs (γ = 1), addressing challenges typically overlooked in traditional DP and RL theory. #reinforcementlearning
Antoine Moulin, Gergely Neu, Luca Viano: Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^\pi$-Realizable MDPs https://arxiv.org/abs/2505.19946 https://arxiv.org/pdf/2505.19946 https://arxiv.org/html/2505.19946
May 27, 2025 at 6:56 AM
Antoine Moulin, Gergely Neu, Luca Viano: Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^\pi$-Realizable MDPs https://arxiv.org/abs/2505.19946 https://arxiv.org/pdf/2505.19946 https://arxiv.org/html/2505.19946
Changli MDPSは狂った楽しいです
https://www.playing-games.com/719611/
どういうわけか、ChangliをHyperCarry MDPSとして通常のQuickSwapスタイルlmaoooとして使用してもっと楽しくする by K-Rie7
https://www.playing-games.com/719611/
どういうわけか、ChangliをHyperCarry MDPSとして通常のQuickSwapスタイルlmaoooとして使用してもっと楽しくする by K-Rie7
Changli MDPSは狂った楽しいです - Playing Games
どういうわけか、ChangliをHyperCarry MDPSとして通常のQuickSwapスタイルlmaoooとして使用してもっと楽しくする
www.playing-games.com
July 14, 2025 at 6:30 AM
Changli MDPSは狂った楽しいです
https://www.playing-games.com/719611/
どういうわけか、ChangliをHyperCarry MDPSとして通常のQuickSwapスタイルlmaoooとして使用してもっと楽しくする by K-Rie7
https://www.playing-games.com/719611/
どういうわけか、ChangliをHyperCarry MDPSとして通常のQuickSwapスタイルlmaoooとして使用してもっと楽しくする by K-Rie7
arXiv:2504.15960v1 Announce Type: new
Abstract: We consider multiple-environment Markov decision processes (MEMDP), which consist of a finite set of MDPs over the same state space, representing different scenarios of transition structure and [1/5 of https://arxiv.org/abs/2504.15960v1]
Abstract: We consider multiple-environment Markov decision processes (MEMDP), which consist of a finite set of MDPs over the same state space, representing different scenarios of transition structure and [1/5 of https://arxiv.org/abs/2504.15960v1]
April 23, 2025 at 5:58 AM
arXiv:2504.15960v1 Announce Type: new
Abstract: We consider multiple-environment Markov decision processes (MEMDP), which consist of a finite set of MDPs over the same state space, representing different scenarios of transition structure and [1/5 of https://arxiv.org/abs/2504.15960v1]
Abstract: We consider multiple-environment Markov decision processes (MEMDP), which consist of a finite set of MDPs over the same state space, representing different scenarios of transition structure and [1/5 of https://arxiv.org/abs/2504.15960v1]
that can be incremented or decremented during each state transition. VASS MDPs can be used as abstractions of probabilistic programs with many decidable properties. In this paper, we develop techniques for analyzing the asymptotic behavior of VASS [2/6 of https://arxiv.org/abs/2503.05006v1]
March 10, 2025 at 5:56 AM
that can be incremented or decremented during each state transition. VASS MDPs can be used as abstractions of probabilistic programs with many decidable properties. In this paper, we develop techniques for analyzing the asymptotic behavior of VASS [2/6 of https://arxiv.org/abs/2503.05006v1]
shows that it is a generalisation of Thompson sampling from multi-arm bandit problems. Finally, we evaluate our framework on the Deep Sea benchmark problem and demonstrate the exploration benefits of posterior sampling in MDPs. [8/8 of https://arxiv.org/abs/2505.01859v1]
May 6, 2025 at 6:18 AM
shows that it is a generalisation of Thompson sampling from multi-arm bandit problems. Finally, we evaluate our framework on the Deep Sea benchmark problem and demonstrate the exploration benefits of posterior sampling in MDPs. [8/8 of https://arxiv.org/abs/2505.01859v1]
Now that I've finally finished leveling all the jobs
Favorite tank: Warrior
Least fav: Dark Knight
Favorite healer: Scholar
Least fav: Astrological
Favorite mDps: Monk
Least fav: Samurai
Favorite ranged: Dancer
Least fav: Machinist
Favorite mDps: Red Mage
Least fav: Black Mage
Favorite tank: Warrior
Least fav: Dark Knight
Favorite healer: Scholar
Least fav: Astrological
Favorite mDps: Monk
Least fav: Samurai
Favorite ranged: Dancer
Least fav: Machinist
Favorite mDps: Red Mage
Least fav: Black Mage
October 17, 2025 at 11:19 AM
Now that I've finally finished leveling all the jobs
Favorite tank: Warrior
Least fav: Dark Knight
Favorite healer: Scholar
Least fav: Astrological
Favorite mDps: Monk
Least fav: Samurai
Favorite ranged: Dancer
Least fav: Machinist
Favorite mDps: Red Mage
Least fav: Black Mage
Favorite tank: Warrior
Least fav: Dark Knight
Favorite healer: Scholar
Least fav: Astrological
Favorite mDps: Monk
Least fav: Samurai
Favorite ranged: Dancer
Least fav: Machinist
Favorite mDps: Red Mage
Least fav: Black Mage
All of old Hyundai and Kia cars have this issue, order version(about 7 Yrs over)car's MDPS have.
If this rubber part has broken on your MDPS motor, it could make steering-lock problem, will trouble on the road.
If your steering-wheel make some noise, you should check this on the skilled garage shop.
If this rubber part has broken on your MDPS motor, it could make steering-lock problem, will trouble on the road.
If your steering-wheel make some noise, you should check this on the skilled garage shop.
July 7, 2023 at 4:02 AM
All of old Hyundai and Kia cars have this issue, order version(about 7 Yrs over)car's MDPS have.
If this rubber part has broken on your MDPS motor, it could make steering-lock problem, will trouble on the road.
If your steering-wheel make some noise, you should check this on the skilled garage shop.
If this rubber part has broken on your MDPS motor, it could make steering-lock problem, will trouble on the road.
If your steering-wheel make some noise, you should check this on the skilled garage shop.
Chaps 2-4-5-6 of Puterman’s book for the basics on MDPs?
November 25, 2024 at 6:20 PM
Chaps 2-4-5-6 of Puterman’s book for the basics on MDPs?
In arxiv.org/abs/2404.07266, Vahid shows how to use offline expert data with unobserved confounding to guide decision making using a nonparametric prior to guide learning policies for bandits, MDPs, and POMDPs.
Thu 12 Dec 4:30 - 7:30 pm PST 📷 West Ballroom A-D Poster #6708
🧵(3/7)
Thu 12 Dec 4:30 - 7:30 pm PST 📷 West Ballroom A-D Poster #6708
🧵(3/7)
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
We study the problem of online sequential decision-making given auxiliary demonstrations from experts who made their decisions based on unobserved contextual information. These demonstrations can be v...
arxiv.org
December 11, 2024 at 12:20 AM
In arxiv.org/abs/2404.07266, Vahid shows how to use offline expert data with unobserved confounding to guide decision making using a nonparametric prior to guide learning policies for bandits, MDPs, and POMDPs.
Thu 12 Dec 4:30 - 7:30 pm PST 📷 West Ballroom A-D Poster #6708
🧵(3/7)
Thu 12 Dec 4:30 - 7:30 pm PST 📷 West Ballroom A-D Poster #6708
🧵(3/7)
Trop content de ma team autour de Xilonen MDPS <3 #GenshinImpact
October 20, 2024 at 12:10 PM
Trop content de ma team autour de Xilonen MDPS <3 #GenshinImpact
Ankita Kushwaha, Kiran Ravish, Preeti Lamba, Pawan Kumar: A Survey of Safe Reinforcement Learning and Constrained MDPs: A Technical Survey on Single-Agent and Multi-Agent Safety https://arxiv.org/abs/2505.17342 https://arxiv.org/pdf/2505.17342 https://arxiv.org/html/2505.17342
May 26, 2025 at 6:02 AM
Ankita Kushwaha, Kiran Ravish, Preeti Lamba, Pawan Kumar: A Survey of Safe Reinforcement Learning and Constrained MDPs: A Technical Survey on Single-Agent and Multi-Agent Safety https://arxiv.org/abs/2505.17342 https://arxiv.org/pdf/2505.17342 https://arxiv.org/html/2505.17342
Krishnendu Chatterjee, Laurent Doyen, Jean-Fran\c{c}ois Raskin, Ocan Sankur: The Value Problem for Multiple-Environment MDPs with Parity Objective https://arxiv.org/abs/2504.15960 https://arxiv.org/pdf/2504.15960 https://arxiv.org/html/2504.15960
April 23, 2025 at 5:58 AM
Krishnendu Chatterjee, Laurent Doyen, Jean-Fran\c{c}ois Raskin, Ocan Sankur: The Value Problem for Multiple-Environment MDPs with Parity Objective https://arxiv.org/abs/2504.15960 https://arxiv.org/pdf/2504.15960 https://arxiv.org/html/2504.15960
I came across a couple of other definitions that might be helpful to mention (apologies if you’re already considering these).
The first one is from Csaba Szepesvári’s RL theory lecture notes (lecture 2, planning in MDPs), and the second one is from Puterman's MDP book (chapter 1).
The first one is from Csaba Szepesvári’s RL theory lecture notes (lecture 2, planning in MDPs), and the second one is from Puterman's MDP book (chapter 1).
August 4, 2025 at 9:45 AM
I came across a couple of other definitions that might be helpful to mention (apologies if you’re already considering these).
The first one is from Csaba Szepesvári’s RL theory lecture notes (lecture 2, planning in MDPs), and the second one is from Puterman's MDP book (chapter 1).
The first one is from Csaba Szepesvári’s RL theory lecture notes (lecture 2, planning in MDPs), and the second one is from Puterman's MDP book (chapter 1).
www.youtube.com/watch?v=mDpS...
Not so fast!
Not so fast!
Will New York DESTROY Trump's desperate JAILBREAK?
YouTube video by Talking Feds with Harry Litman
www.youtube.com
October 24, 2025 at 10:59 AM
www.youtube.com/watch?v=mDpS...
Not so fast!
Not so fast!
🔄 Updated Arxiv Paper
Title: Constrained Average-Reward Intermittently Observable MDPs
Authors: Konstantin Avrachenkov, Madhu Dhiman, Veeraruna Kavitha
Read more: https://arxiv.org/abs/2504.13823
Title: Constrained Average-Reward Intermittently Observable MDPs
Authors: Konstantin Avrachenkov, Madhu Dhiman, Veeraruna Kavitha
Read more: https://arxiv.org/abs/2504.13823
September 9, 2025 at 8:16 AM
🔄 Updated Arxiv Paper
Title: Constrained Average-Reward Intermittently Observable MDPs
Authors: Konstantin Avrachenkov, Madhu Dhiman, Veeraruna Kavitha
Read more: https://arxiv.org/abs/2504.13823
Title: Constrained Average-Reward Intermittently Observable MDPs
Authors: Konstantin Avrachenkov, Madhu Dhiman, Veeraruna Kavitha
Read more: https://arxiv.org/abs/2504.13823
Verkkotunnus: mdps-oy.fi
Rekisteröity: 2025-09-10 17:31
Käyttäjä: MDPS-Oy
Maa: Suomi
Välittäjä: Marcaria.com LLC
Rekisteröity: 2025-09-10 17:31
Käyttäjä: MDPS-Oy
Maa: Suomi
Välittäjä: Marcaria.com LLC
September 10, 2025 at 10:11 PM
Verkkotunnus: mdps-oy.fi
Rekisteröity: 2025-09-10 17:31
Käyttäjä: MDPS-Oy
Maa: Suomi
Välittäjä: Marcaria.com LLC
Rekisteröity: 2025-09-10 17:31
Käyttäjä: MDPS-Oy
Maa: Suomi
Välittäjä: Marcaria.com LLC
Genshin Impact Teams - "Luna 2" (Nov 2025)
I haven't gotten anyone new, but seeing the upcoming gameplay Venti buffs and the Hexenzirkel buffs, inspired me to put together a team centred around MDPS Venti.
Also replaced him with Sucrose in my Electro-Charged team.
I haven't gotten anyone new, but seeing the upcoming gameplay Venti buffs and the Hexenzirkel buffs, inspired me to put together a team centred around MDPS Venti.
Also replaced him with Sucrose in my Electro-Charged team.
November 13, 2025 at 7:18 AM
Genshin Impact Teams - "Luna 2" (Nov 2025)
I haven't gotten anyone new, but seeing the upcoming gameplay Venti buffs and the Hexenzirkel buffs, inspired me to put together a team centred around MDPS Venti.
Also replaced him with Sucrose in my Electro-Charged team.
I haven't gotten anyone new, but seeing the upcoming gameplay Venti buffs and the Hexenzirkel buffs, inspired me to put together a team centred around MDPS Venti.
Also replaced him with Sucrose in my Electro-Charged team.
Have people in the #reinforcementlearning community been thinking about using LLMs to generate MDPs?
November 24, 2024 at 12:54 PM
Have people in the #reinforcementlearning community been thinking about using LLMs to generate MDPs?