v1v2v3 (latest)

DiCE: The Infinitely Differentiable Monte-Carlo Estimator

14 February 2018

ArXiv (abs)PDF HTML Github (148★)

Papers citing "DiCE: The Infinitely Differentiable Monte-Carlo Estimator"

50 / 66 papers shown

Title
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu Tengyu Xu Di Jin Karthik Abinav Sankararaman Yun He ... Eryk Helenowski Chen Zhu Sinong Wang Hao Ma Han Fang LRM 230 11 0 29 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 160 10 0 28 Jan 2025
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding Shenghong He Chao Yu 92 0 0 26 Dec 2024
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matthew D Riemer G. Subbaraj Glen Berseth Irina Rish OffRL 140 2 0 18 Dec 2024
Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans Seijin Kobayashi J. Oswald Nino Scherrer Eric Elmoznino Blake A. Richards Guillaume Lajoie Blaise Agüera y Arcas João Sacramento 79 1 0 24 Oct 2024
Probabilistic Programming with Programmable Variational Inference McCoy R. Becker Alexander K. Lew Xiaoyan Wang Matin Ghavami Mathieu Huot Martin Rinard Vikash K. Mansinghka 131 5 0 22 Jun 2024
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Rameswar Panda Gauthier Gidel Aaron Courville 82 2 0 20 Jun 2024
LOQA: Learning with Opponent Q-Learning Awareness Milad Aghajohari Juan Agustin Duque Tim Cooijmans Rameswar Panda 74 4 0 02 May 2024
ULLER: A Unified Language for Learning and Reasoning Emile van Krieken Samy Badreddine Robin Manhaeve Eleonora Giunchiglia NAI 110 3 0 01 May 2024
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes Ali Younis Erik B. Sudderth 61 4 0 12 Apr 2024
Leading the Pack: N-player Opponent Shaping Alexandra Souly Timon Willi Akbir Khan Robert Kirk Chris Xiaoxuan Lu Edward Grefenstette Tim Rocktaschel 131 3 0 19 Dec 2023
Meta-Value Learning: a General Framework for Learning with Learning Awareness Tim Cooijmans Milad Aghajohari Rameswar Panda 64 6 0 17 Jul 2023
Incentivizing honest performative predictions with proper scoring rules Caspar Oesterheld Johannes Treutlein Emery Cooper Rubi Hudson 69 7 0 28 May 2023
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning Ariyan Bighashdel Daan de Geus P. Jancura Gijs Dubbelman OffRL LRM 48 1 0 04 Apr 2023
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation Ariyan Bighashdel Daan de Geus P. Jancura Gijs Dubbelman 47 1 0 15 Mar 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games Ziyi Liu Yongchun Fang 45 1 0 14 Mar 2023
Learning to Influence Human Behavior with Offline Reinforcement Learning Joey Hong Sergey Levine Anca Dragan OffRL AI4CE 83 0 0 03 Mar 2023
Differentiable Simulations for Enhanced Sampling of Rare Events Martin Sípka Johannes C. B. Dietschreit Lukáš Grajciar Rafael Gómez-Bombarelli 127 11 0 09 Jan 2023
Reusable Options through Gradient-based Meta Learning David Kuric H. V. Hoof 91 0 0 22 Dec 2022
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs Alexander K. Lew Mathieu Huot S. Staton Vikash K. Mansinghka 64 22 0 13 Dec 2022
Proximal Learning With Opponent-Learning Awareness S. Zhao Chris Xiaoxuan Lu Roger C. Grosse Jakob N. Foerster 80 21 0 18 Oct 2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments Desik Rengarajan Sapana Chaudhary JaeWon Kim D. Kalathil S. Shakkottai OffRL 65 2 0 26 Sep 2022
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients Risto Vuorio Jacob Beck Shimon Whiteson Jakob N. Foerster Gregory Farquhar 87 7 0 22 Sep 2022
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon 170 4 0 13 Sep 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning Haoqi Yuan Zongqing Lu SSL OffRL 86 42 0 21 Jun 2022
Critic Sequential Monte Carlo Vasileios Lioutas J. Lavington Justice Sefas Matthew Niedoba Yunpeng Liu Berend Zwartsenberg Setareh Dabiri Frank Wood Adam Scibior 105 7 0 30 May 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon Cesare Alippi CML AI4TS 125 19 0 26 May 2022
Model-Free Opponent Shaping Chris Xiaoxuan Lu Timon Willi Christian Schroeder de Witt Jakob N. Foerster 113 44 0 03 May 2022
COLA: Consistent Learning with Opponent-Learning Awareness Timon Willi Alistair Letcher Johannes Treutlein Jakob N. Foerster 70 52 0 08 Mar 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim Matthew D Riemer Miao Liu Jakob N. Foerster Michael Everett Chuangchuang Sun Gerald Tesauro Jonathan P. How 143 0 0 07 Mar 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning Xidong Feng Bo Liu Jie Ren Luo Mai Rui Zhu Haifeng Zhang Jun Wang Yaodong Yang 94 12 0 31 Dec 2021
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning Yunhao Tang 68 7 0 14 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 83 2 0 14 Dec 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 92 19 0 14 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 91 45 0 07 Sep 2021
Model-Based Opponent Modeling Xiaopeng Yu Jiechuan Jiang Wanpeng Zhang Haobin Jiang Zongqing Lu OffRL 109 29 0 04 Aug 2021
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation Yunhao Tang Tadashi Kozuno Mark Rowland Rémi Munos Michal Valko OffRL 136 9 0 24 Jun 2021
Differentiable Particle Filtering without Modifying the Forward Pass Adam Scibior Frank Wood 95 19 0 18 Jun 2021
Neural Auto-Curricula Xidong Feng Oliver Slumbers Bo Liu Bo Liu Stephen Marcus McAleer Ying Wen Jun Wang Yaodong Yang 96 2 0 04 Jun 2021
A unified view of likelihood ratio and reparameterization gradients Paavo Parmas Masashi Sugiyama 53 9 0 31 May 2021
Searching with Opponent-Awareness Timy Phan 22 0 0 21 Apr 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation Emile van Krieken Jakub M. Tomczak A. T. Teije ODL OffRL 103 16 0 01 Apr 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 142 324 0 25 Dec 2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 83 3 0 27 Nov 2020
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games Roxana Rădulescu T. Verstraeten Yijie Zhang Patrick Mannion D. Roijers A. Nowé 63 14 0 14 Nov 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian Jack Parker-Holder Luke Metz Cinjon Resnick Hengyuan Hu Adam Lerer Alistair Letcher A. Peysakhovich Aldo Pacchiano Jakob N. Foerster 50 24 0 12 Nov 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences Bowen Baker LRM 69 37 0 10 Nov 2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong-Ki Kim Miao Liu Matthew D Riemer Chuangchuang Sun Marwa Abdulhai Golnaz Habibi Sebastian Lopez-Cot Gerald Tesauro Jonathan P. How 56 56 0 31 Oct 2020
GO Hessian for Expectation-Based Objectives Yulai Cong Miaoyun Zhao Jianqiao Li Junya Chen Lawrence Carin 46 0 0 16 Jun 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 103 50 0 18 Feb 2020