Merge pull request #66 from haz/master

Misc Changes

config.toml

@@ -199,6 +199,12 @@ theme = 'mainroad'
    url = "/program/accepted"
    parent = "program"
    weight = "15"
+ [[menu.main]]
+   identifier = "awards"
+    name = "Awards"
+    url = "/program/awards"
+    parent = "program"
+    weight = 20
 #  [[menu.main]]
 #    identifier = "doctoral-consortium"
 #    name = "Doctoral Consortium"

content/attending/accommodation.md

@@ -8,7 +8,7 @@ draft: false
 
 Please book your accommodation as soon as possible! Banff is a popular tourist destination and affordable accommodation will become harder to find the longer you leave it.
 
-At this point, Banff Centre accommodations are sold out.
+A small number of rooms have been made available on a first-come first-served basis.
 
 For anyone looking for a room, there are many [hotels in Banff](https://www.google.com/travel/search?q=hotels%20in%20banff&g2lb=2503771%2C2503781%2C4284970%2C4291517%2C4814050%2C4874190%2C4893075%2C4899571%2C4899572%2C4965990%2C72277293%2C72302247%2C72317059%2C72406588%2C72414906%2C72421566%2C72458066%2C72462234%2C72470440%2C72470899%2C72471280%2C72472051%2C72473841%2C72481458%2C72485656%2C72485658%2C72486593%2C72494250%2C72513422%2C72513513%2C72520082%2C72523972%2C72534000%2C72536387%2C72538597%2C72549171%2C72561422%2C72562082&hl=en-CA&gl=ca&ssta=1&ts=CAESCgoCCAMKAggDEAAaeApaEi4yJTB4NTM3MGNhNDU5MTBjNGFmZDoweGNhYWZhZWJlZGFhYzk0NjM6BUJhbmZmGigKEgnjQN2j5JRJQBE805ko4eVcwBISCawzLpGlmElAETzTmbAg4lzAEhoSFAoHCOgPEAYYAhIHCOgPEAYYBxgFMgIIASoHCgU6A0NBRA&qs=CAE4BkgAWksIATJHqgFEEAEqCiIGaG90ZWxzKAAyHxABIhtlpaL1L4HDj3whs-QjzdPCXcKJMiE7_Z5XrUMyExACIg9ob3RlbHMgaW4gYmFuZmY&ap=KigKEgnjQN2j5JRJQBE805ko4eVcwBISCawzLpGlmElAETzTmbAg4lzAMAJoAQ&ictx=1&ved=0CAAQ5JsGahcKEwiYiNbkk7iFAxUAAAAAHQAAAAAQCQ) but most tend to be expensive. In such cases we recommend sharing a room -- you can coordinate to find a roomate on the [Planning Slack Channel](https://slack.planning.domains/), #icaps24-shared-housing. Check AirBnB and hostels for other accommodations.
 

content/home/index.md

@@ -4,20 +4,20 @@ date: 2022-08-17T09:57:19+02:00
 draft: false
 ---
 
-The International Conference on Automated Planning and Scheduling (ICAPS) is the premier forum for exchanging news and research results on the theory and applications of intelligent and automated planning and scheduling technology. ICAPS 2024 is part of the [ICAPS conference series](https://www.icaps-conference.org/conference-series/). ICAPS 2024, the 34th International Conference on Automated Planning and Scheduling, will take place in Banff, Alberta, Canada in June 2024. 
+The International Conference on Automated Planning and Scheduling (ICAPS) is the premier forum for exchanging news and research results on the theory and applications of intelligent and automated planning and scheduling technology. ICAPS 2024 is part of the [ICAPS conference series](https://www.icaps-conference.org/conference-series/). ICAPS 2024, the 34th International Conference on Automated Planning and Scheduling, will take place in Banff, Alberta, Canada in June 2024.
 
 The ICAPS 2024 program committee invites paper submissions related to automated planning and scheduling. Relevant contributions include, but are not limited to:
 
 - Theoretical and empirical studies of planning and scheduling problems and algorithms;
 - Novel techniques and approaches that extend the scope and scale of problems that can be solved;
-- Analytic and implemented tools supporting automated planning and scheduling; 
+- Analytic and implemented tools supporting automated planning and scheduling;
 - Studies of applying automated planning and scheduling technologies to significant problems with deep technical insight.
 <!--
 ---
 
 <!--**ICAPS 2023** is collocated with [International Workshop on Planning & Scheduling for Space](https://sites.google.com/view/iwpss2023) (IWPSS, July 7-8) and [Symposium on Combinatorial Search](https://socs23.search-conference.org) (SoCS, July 14-16).
 
 ---
+-->
 
 {{< sponsors_table_json "/data/sponsors/sponsors.json" >}}
--->

content/program/awards.md

@@ -0,0 +1,38 @@
+---
+title: "Awards"
+date: 2024-04-25T13:27:57+02:00
+draft: false
+---
+
+# ICAPS 2024 Awards
+
+### Best Paper Award
+
+[**Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning**](https://openreview.net/forum?id=sqzyJpjsha) *David Speck, Daniel Gnad*
+
+### Best Paper Award (Runner-up)
+
+[**Expressiveness of Graph Neural Networks in Planning Domains**](https://openreview.net/forum?id=pKEkSAPSGJ) *Rostislav Horcik, Gustav Šír*
+
+### Best Student Paper Award
+
+[**Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences**](https://openreview.net/forum?id=aq8LOMsYgc) *Yorai Shaoul, Itamar Mishani, Maxim Likhachev, Jiaoyang Li*
+
+### Best Student Paper Award (Runner-up)
+
+[**A Counter-Example Based Approach to Probabilistic Conformant Planning**](https://openreview.net/forum?id=gg527bL2Oi) *Xiaodi Zhang, Alban Grastien, Charles Gretton*
+
+----
+
+### ICAPS Influential Paper Award
+
+*To be announced soon...*
+
+### ICAPS Best Dissertation Award
+
+*To be announced soon...*
+
+### ICAPS Best Dissertation Award (Runner-up)
+
+*To be announced soon...*
+

data/keynotes/keynotes.json

@@ -1,23 +1,26 @@
 {
 	"keynotes": [
-		{
-			"name": "Julie Shah",
-			"img" : "/img/keynotes/julie.shah.png",
-			"title": "Effective Human-Machine Partnerships in High Stakes Settings",
-			"webpage" : "https://interactive.mit.edu/about/people/julie",
-			"abstract": "Every team has top performers -- people who excel at working in a team to find the right solutions in complex, difficult situations. These top performers include nurses who run hospital floors, emergency response teams, air traffic controllers, and factory line supervisors. While they may outperform the most sophisticated optimization and scheduling algorithms, they cannot often tell us how they do it. Similarly, even when a machine can do the job better than most of us, it can’t explain how. The result is often an either/or choice between human and machine - resulting in what we call zero-sum automation. In this talk I present research case studies from industry and also share our lab's latest research effectively blending the unique decision-making strengths of humans and intelligent machines.",
-			"bio": "Julie Shah is the H.N. Slater Professor and Head of Aeronautics and Astronautics, faculty director of MIT's Industrial Performance Center, and director of the Interactive Robotics Group, which aims to imagine the future of work by designing collaborative robot teammates that enhance human capability. She is expanding the use of human cognitive models for artificial intelligence and has translated her work to manufacturing assembly lines, healthcare applications, transportation and defense. Before joining the faculty, she worked at Boeing Research and Technology on robotics applications for aerospace manufacturing. Prof. Shah has been recognized by the National Science Foundation with a Faculty Early Career Development (CAREER) award and by MIT Technology Review on its 35 Innovators Under 35 list. She was also the recipient of the 2018 IEEE RAS Academic Early Career Award for contributions to human-robot collaboration and transition of results to real world application. She has received international recognition in the form of best paper awards and nominations from the ACM/IEEE International Conference on Human-Robot Interaction, the American Institute of Aeronautics and Astronautics, the Human Factors and Ergonomics Society, the International Conference on Automated Planning and Scheduling, and the International Symposium on Robotics. She earned degrees in aeronautics and astronautics and in autonomous systems from MIT and is co-author of the book, What to Expect When You're Expecting Robots: The Future of Human-Robot Collaboration (Basic Books, 2020)."
-		},
 		{
 			"name": "Hector Geffner",
+			"date": "June 4th",
 			"img" : "/img/keynotes/hector.geffner.jpg",
 			"title": "Learning Representations to Act and Plan",
 			"webpage" : "https://www-i6.informatik.rwth-aachen.de/~hector.geffner/",
 			"abstract": "Recent progress in deep learning and deep reinforcement learning (DRL) has been truly remarkable, yet two important problems remain: structural policy generalization and policy reuse. The first is about getting policies that generalize in a reliable way; the second is about getting policies that can be reused and combined in a flexible, goal-oriented manner. The two problems are studied in DRL but only experimentally, and the results are not clear and crisp. In our work, we have tackled these problems in a slightly different manner, developing languages for expressing general policies, and methods for learning them using combinatorial and DRL approaches. We have also developed languages for expressing and learning lifted action models, general subgoal structures (sketches), and hierarchical polices. In the talk, I'll present the main ideas and results, and open challenges. This is joint work with Blai Bonet, Simon Stahlberg, Dominik Drexler, and other members of the RLeap team at RWTH and LiU.",
 			"bio": "Hector Geffner is an Alexander von Humboldt Professor at RWTH Aachen University, Germany and a Guest Wallenberg Professor at Linköping University, Sweden. Before joining RWTH, he was an ICREA Research Professor at the Universitat Pompeu Fabra, Barcelona, Spain. Hector obtained a Ph.D. in Computer Science at UCLA in 1989 and then worked at the IBM T.J. Watson Research Center in New Work, and at the Universidad Simon Bolivar in Caracas. Distinctions for his work and the work of his team include the 1990 ACM Dissertation Award and three ICAPS Influential Paper Awards. Hector currently leads a project on representation learning for acting and planning (RLeap) funded by an ERC grant."
 		},
+		{
+			"name": "Julie Shah",
+			"date": "June 5th",
+			"img" : "/img/keynotes/julie.shah.png",
+			"title": "Effective Human-Machine Partnerships in High Stakes Settings",
+			"webpage" : "https://interactive.mit.edu/about/people/julie",
+			"abstract": "Every team has top performers -- people who excel at working in a team to find the right solutions in complex, difficult situations. These top performers include nurses who run hospital floors, emergency response teams, air traffic controllers, and factory line supervisors. While they may outperform the most sophisticated optimization and scheduling algorithms, they cannot often tell us how they do it. Similarly, even when a machine can do the job better than most of us, it can’t explain how. The result is often an either/or choice between human and machine - resulting in what we call zero-sum automation. In this talk I present research case studies from industry and also share our lab's latest research effectively blending the unique decision-making strengths of humans and intelligent machines.",
+			"bio": "Julie Shah is the H.N. Slater Professor and Head of Aeronautics and Astronautics, faculty director of MIT's Industrial Performance Center, and director of the Interactive Robotics Group, which aims to imagine the future of work by designing collaborative robot teammates that enhance human capability. She is expanding the use of human cognitive models for artificial intelligence and has translated her work to manufacturing assembly lines, healthcare applications, transportation and defense. Before joining the faculty, she worked at Boeing Research and Technology on robotics applications for aerospace manufacturing. Prof. Shah has been recognized by the National Science Foundation with a Faculty Early Career Development (CAREER) award and by MIT Technology Review on its 35 Innovators Under 35 list. She was also the recipient of the 2018 IEEE RAS Academic Early Career Award for contributions to human-robot collaboration and transition of results to real world application. She has received international recognition in the form of best paper awards and nominations from the ACM/IEEE International Conference on Human-Robot Interaction, the American Institute of Aeronautics and Astronautics, the Human Factors and Ergonomics Society, the International Conference on Automated Planning and Scheduling, and the International Symposium on Robotics. She earned degrees in aeronautics and astronautics and in autonomous systems from MIT and is co-author of the book, What to Expect When You're Expecting Robots: The Future of Human-Robot Collaboration (Basic Books, 2020)."
+		},
 		{
 			"name": "Dale Schuurmans",
+			"date": "June 6th",
 			"img" : "/img/keynotes/dale.schuurmans.jpg",
 			"title": "Computing and Planning with Large Generative Models",
 			"webpage": "https://webdocs.cs.ualberta.ca/~dale/",

data/sponsors/sponsors.json

@@ -1,16 +1,5 @@
 {
 	"levels": [
-		{
-			"rank": "Platinum Partners",
-			"list": [
-				{
-					"logo": "/img/partners/nsf.jpeg",
-					"height": "-1",
-					"width": "140",
-					"link": "https://www.nsf.gov"
-				}
-			]
-		},
 		{
 			"rank": "Gold Partners",
 			"list": [
@@ -25,18 +14,6 @@
 		{
 			"rank": "Silver Partners",
 			"list": [
-				{
-					"logo": "/img/partners/filuta-logo-symbol.svg",
-					"height": "-1",
-					"width": "140",
-					"link": "https://filuta.ai"
-				},
-				{
-					"logo": "/img/partners/alicetechnologies.jpg",
-					"height": "-1",
-					"width": "140",
-					"link": "http://www.alicetechnologies.com"
-				},
 				{
 					"logo": "/img/partners/jpmorgan.png",
 					"height": "150",
@@ -48,6 +25,12 @@
 					"height": "-1",
 					"width": "140",
 					"link": "http://psresearch.xyz"
+				},
+				{
+					"logo": "/img/partners/porter.jpg",
+					"height": "-1",
+					"width": "200",
+					"link": "https://www.flyporter.com"
 				}
 			]
 		},
@@ -61,28 +44,22 @@
 					"link": "https://sift.net"
 				},
 				{
-					"logo": "/img/partners/RSJ_logo.png",
-					"height": "-1",
-					"width": "200",
-					"link": "https://rsj.com/en"
-				},
-				{
-					"logo": "/img/partners/sony.png",
+					"logo": "/img/partners/IBM_60_RGB.gif",
 					"height": "-1",
 					"width": "200",
-					"link": "https://ai.sony"
+					"link": "https://research.ibm.com/"
 				},
 				{
-					"logo": "/img/partners/googlelogo_color_416x140dp.png",
+					"logo": "/img/partners/slb.png",
 					"height": "-1",
 					"width": "200",
-					"link": "https://research.google/"
+					"link": "https://www.slb.com/"
 				},
 				{
-					"logo": "/img/partners/IBM_60_RGB.gif",
+					"logo": "/img/partners/filuta-logo-symbol.svg",
 					"height": "-1",
-					"width": "200",
-					"link": "https://research.ibm.com/"
+					"width": "140",
+					"link": "https://filuta.ai"
 				}
 			]
 		}

layouts/shortcodes/keynotes_table_json.html

@@ -4,6 +4,7 @@
 
 {{ range $keynote := $data.keynotes }}
 
+<h2>({{ print $keynote.date }})</h2>
 <div style="display: inline-block; width: 20%; vertical-align: top; border-style: solid; border-radius: 5%; border-color: orange; margin-top: 1%; margin-bottom: 1%;">
 	<img style="padding: 1%; width: 100%; border-radius: 5%;" src="{{ print $keynote.img }}" />
 </div>