add acgr iros paper

also change order of

Author: animesh-garg

_bibliography/pair.bib

@@ -307,7 +307,6 @@ @workshop{xu17corl
   talk={https://youtu.be/_9Ny2ghjwuY?t=7h54m}
 }
 
-
 @workshop{xu17srssw,
   title={Hierarchical Task Generalization with Neural Programs}, 
   author={Xu, Danfei and Zhu, Yuke and Gao, Julian and Garg, Animesh and Fei-Fei, Li and Savarese, Silvio},
@@ -336,7 +335,6 @@ @workshop{portwoord2019turbulence
   pdf={https://ml4physicalsciences.github.io/2019/files/NeurIPS_ML4PS_2019_67.pdf}
 }
 
-
 @workshop{pitis2020wkspcounterfactual,
     title={Counterfactual Data Augmentation using Locally Factored Dynamics},
     author={Silviu Pitis and Elliot Creager and Animesh Garg},
@@ -349,7 +347,6 @@ @workshop{pitis2020wkspcounterfactual
     award={Outstanding Paper Award at Object-Oriented Learning Workshop, ICML 2020},
 }
 
-
 @workshop{d2rl2020,
   title={D2RL: Deep Dense Architectures in Reinforcement Learning}, 
   author={Samarth Sinha and Homanga Bharadhwaj and Aravind Srinivas and Animesh Garg},
@@ -393,7 +390,6 @@ @workshop{islam2022offline
       booktitle={Workshop on Offline Reinforcement Learning at NeurIPS}
 }
 
-
 @workshop{zhou2023multi,
   title={Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical Applications},
   author={Zihan Zhou and Jonathan Booher and Khashayar Rohanimanesh and Wei Liu and Aleksandr Petiushko and Animesh Garg},
@@ -402,8 +398,6 @@ @workshop{zhou2023multi
   arxiv={2402.15650}
 }
 
-
-
 @workshop{bagajo2024diffsim2real,
   title={DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation},
   author={Bagajo, Joshua and Schwarke, Clemens and Klemm, Victor and Georgiev, Ignat and Sleiman, Jean-Pierre and Tordesillas, Jesus and Garg, Animesh and Hutter, Marco},
@@ -1653,7 +1647,7 @@ @inproceedings{wang2023mvtrans
 @inproceedings{wu2023slotdiffusion,
   title={Slotdiffusion: Object-centric generative modeling with diffusion models},
   author={Wu, Ziyi and Hu, Jingyu and Lu, Wuyue and Gilitschenski, Igor and Garg, Animesh},
-  booktitle={Advances in Neural Information Processing Systems},
+  booktitle={Advances in Neural Information Processing Systems (NeurIPS},
   year={2023},
   month={dec},
   ign-volume={36},
@@ -1666,7 +1660,7 @@ @inproceedings{wu2023slotdiffusion
 @inproceedings{liu2023composable,
   title={Composable part-based manipulation},
   author={Liu, Weiyu and Mao, Jiayuan and Hsu, Joy and Hermans, Tucker and Garg, Animesh and Wu, Jiajun},
-  booktitle={Conference on Robot Learning},
+  booktitle={Conference on Robot Learning (CoRL)},
   year={2023},
   month={nov},
   arxiv={2405.05876},
@@ -1677,7 +1671,7 @@ @inproceedings{liu2023composable
 @inproceedings{attarian2023geometry,
   title={Geometry Matching for Multi-Embodiment Grasping},
   author={Attarian, Maria and Asif, Muhammad Adil and Liu, Jingzhou and Hari, Ruthrash and Garg, Animesh and Gilitschenski, Igor and Tompson, Jonathan},
-  booktitle={Conference on Robot Learning},
+  booktitle={Conference on Robot Learning (CoRL)},
   year={2023},
   month={nov},
   arxiv={2312.03864},
@@ -1727,7 +1721,7 @@ @inproceedings{yu2024orbit
 @inproceedings{georgiev2024adaptive,
   title={Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation},
   author={Georgiev, Ignat and Srinivasan, Krishnan and Xu, Jie and Heiden, Eric and Garg, Animesh},
-  booktitle={Proceedings of the 41st International Conference on Machine Learning},
+  booktitle={International Conference on Machine Learning (ICML)},
   year={2024},
   month={jul},
   organization={PMLR 235:15418-15437},
@@ -1740,7 +1734,7 @@ @inproceedings{georgiev2024adaptive
 @inproceedings{walker2024fast,
   title={Fast Explicit-Input Assistance for Teleoperation in Clutter},
   author={Walker, Nick and Yang, Xuning and Garg, Animesh and Cakmak, Maya and Fox, Dieter and P{\'e}rez-D’Arpino, Claudia},
-  booktitle={2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
+  booktitle={IEEE International Conference on Intelligent Robots and Systems (IROS)},
   ign-pages={9270--9276},
   year={2024},
   month={oct},
@@ -1752,7 +1746,7 @@ @inproceedings{walker2024fast
 @inproceedings{moghani2024sufia,
   title={SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants},
   author={Moghani, Masoud and Doorenbos, Lars and Panitch, William Chung-Ho and Huver, Sean and Azizian, Mahdi and Goldberg, Ken and Garg, Animesh},
-  booktitle={2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
+  booktitle={IEEE International Conference on Intelligent Robots and Systems (IROS)},
   arXiv={2405.05226},
   year={2024},
   month={oct},
@@ -1765,7 +1759,7 @@ @inproceedings{moghani2024sufia
 @inproceedings{wang2024discovering,
   title={Discovering Robotic Interaction Modes with Discrete Representation Learning},
   author={Wang, Liquan and Goyal, Ankit and Xu, Haoping and Garg, Animesh},
-  booktitle={8th Annual Conference on Robot Learning},
+  booktitle={Conference on Robot Learning (CoRL)},
   year={2024},
   month={nov},
   arxiv={2410.20258},
@@ -1777,7 +1771,7 @@ @inproceedings{wang2024discovering
 @inproceedings{zhou2024spire,
   title={SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation},
   author={Zhou, Zihan and Garg, Animesh and Fox, Dieter and Garrett, Caelan Reed and Mandlekar, Ajay},
-  booktitle={8th Annual Conference on Robot Learning},
+  booktitle={Conference on Robot Learning (CoRL)},
   year={2024},
   month={nov},
   website={https://sites.google.com/view/spire-corl-2024},
@@ -1867,14 +1861,27 @@ @inproceedings{ameperosa2025rocoda
   preview={rocoda-25.jpg}
 }
 
+@inproceedings{krishnan2025acgd,
+  title={ACGD: Visual Multitask Policy Learning with Asymmetric Critic Guided Distillation},
+  author={Srinivasan, Krishnan and Xu, Jie and Ang, Henry and Heiden, Eric and Fox, Dieter and Bohg, Jeannette and Garg, Animesh},
+  booktitle={IEEE International Conference on Intelligent Robots and Systems (IROS)},
+  month={oct},
+  year={2025},
+  pdf={https://critic-guided-distillation.github.io/acgd.pdf},
+  website={https://critic-guided-distillation.github.io},
+  preview={acgd-iros25.jpg},
+  keywords={Visual Multitask Policy Learning, Asymmetric Critic, lorem ipsum},
+  tags={Reinforcement Learning, Visual Learning, Policy Learning},
+}
+
 
 % ==========
 % Journal
 % ==========
 
 @article{garg2013robot,
 author={Garg, Animesh and Siauw, Timmy and Berenson, Dmitry and Cunha, J Adam M and Hsu, I-C and Pouliot, Jean and Stoianovici, Dan and Goldberg, Ken},
-  journal={IEEE Transactions on Automation Science and Engineering (T-ASE)},
+  journal={IEEE Transactions on Automation Science and Engineering (TASE)},
   title={Robot-Guided Open-Loop Insertion of Skew-Line Needle Arrangements for High Dose Rate Brachytherapy},
   year={2013},
   abstract={We present a study in human-centered automation that has potential to reduce patient side effects from high dose rate brachytherapy (HDR-BT). To efficiently deliver radiation to the prostate while minimizing trauma to sensitive structures such as the penile bulb, we modified the Acubot-RND 7-axis robot to guide insertion of diamond-tip needles into desired skew-line geometric arrangements. We extend and integrate two algorithms: Needle Planning with Integer Programming (NPIP) and Inverse Planning with Integer Programming (IPIP) to compute skew-line needle and dose plans. We performed three physical experiments with anatomically correct phantom models to study performance: two with the robot and one control experiment with an expert human physician (coauthor Hsu) without the robot. All were able to achieve needle arrangements that meet the RTOG-0321 clinical dose objectives with zero trauma to the penile bulb. We analyze systematic and random errors in needle placement; total RMS error for the robot system operating without feedback ranged from 2.6 to 4.3 mm, which is comparable to the RMS error of 2.7 mm obtained in an earlier study for PPI-BT treatment using a robot with 3D ultrasound feedback.},
@@ -1930,7 +1937,7 @@ @article{lee2020making
   month={mar},
   arXiv={1907.13098},
   website= {https://sites.google.com/view/visionandtouch},
-  journal={IEEE Transactions on Robotics (T-RO)},
+  journal={IEEE Transactions on Robotics (TRO)},
   preview={lee-tro20-making.jpeg}
 }
 
@@ -1950,7 +1957,7 @@ @article{joseph2020condensa
   
 @article{dundar2021pami,
   Author = {Aysegul Dundar and Kevin J. Shih and Animesh Garg and Robert Pottorf and Andrew Tao and Bryan Catanzaro},
-  journal={Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)}, 
+  journal={Transactions on Pattern Analysis and Machine Intelligence (PAMI)}, 
   Title = {Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos},
   Year = {2021},
   month={jan},
@@ -1987,7 +1994,7 @@ @article{sun2022plate
 @article{Lutter2022cfvi,
   title={{Continuous-Time Fitted Value Iteration for Robust Policies}}, 
   author={Michael Lutter and Boris Belousov and Shie Mannor and Dieter Fox and Animesh Garg and Jan Peters},
-  journal={Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)}, 
+  journal={Transactions on Pattern Analysis and Machine Intelligence (PAMI)}, 
   year={2022},
   month={oct},
   arXiv = {2110.01954},
@@ -2069,7 +2076,7 @@ @article{yoshikawa2023digital
 @article{yoshikawa2023large,
   title={Large language models for chemistry robotics},
   author={Yoshikawa, Naruki and Skreta, Marta and Darvish, Kourosh and Arellano-Rubach, Sebastian and Ji, Zhi and Bj{\o}rn Kristensen, Lasse and Li, Andrew Zou and Zhao, Yuchi and Xu, Haoping and Kuramshin, Artur and Alán Aspuru-Guzik and Florian Shkurti and Animesh Garg },
-  journal={Autonomous Robots},
+  journal={Autonomous Robots (AURO)},
   ign-volume={47},
   ign-number={8},
   ign-pages={1057--1086},
@@ -2084,7 +2091,7 @@ @article{yoshikawa2023large
 @article{singh2023progprompt,
   title={ProgPrompt: program generation for situated robot task planning using large language models},
   author={Singh, Ishika and Blukis, Valts and Mousavian, Arsalan and Goyal, Ankit and Xu, Danfei and Tremblay, Jonathan and Fox, Dieter and Thomason, Jesse and Garg, Animesh},
-  journal={Autonomous Robots},
+  journal={Autonomous Robots (AURO)},
   ign-pages={1--14},
   year={2023},
   mon={sep},
@@ -2097,7 +2104,7 @@ @article{singh2023progprompt
 @article{dharmarajan2023robot,
   title={Robot-Assisted Vascular Shunt Insertion with the dVRK Surgical Robot},
   author={Dharmarajan, Karthik and Panitch, Will and Shi, Baiyu and Huang, Huang and Chen, Lawrence Yunliang and Moghani, Masoud and Yu, Qinxi and Hari, Kush and Low, Thomas and Fer, Danyal and Animesh Garg and Ken Goldberg},
-  journal={Journal of Medical Robotics Research},
+  journal={Journal of Medical Robotics Research (JMRR)},
   ign-volume={8},
   ign-number={03n04},
   ign-pages={2340006},
@@ -2113,7 +2120,7 @@ @article{dharmarajan2023robot
 @article{melnik2023benchmarks,
   title={Benchmarks for Physical Reasoning {AI}},
   author={Andrew Melnik and Robin Schiewer and Moritz Lange and Andrei Ioan Muresanu and mozhgan saeidi and Animesh Garg and Helge Ritter},
-  journal={Transactions on Machine Learning Research},
+  journal={Transactions on Machine Learning Research (TMLR)},
   ign-issn={2835-8856},
   year={2023},
   month={nov},