Dichotomy of Control: Separating What You Can Control from What You
Cannot

Dichotomy of Control: Separating What You Can Control from What You Cannot

24 October 2022

Dale Schuurmans

Pieter Abbeel

Papers citing "Dichotomy of Control: Separating What You Can Control from What You Cannot"

16 / 16 papers shown

Title
Latent Adaptive Planner for Dynamic Manipulation Donghun Noh Deqian Kong Minglu Zhao Andrew Lizarraga Jianwen Xie Ying Nian Wu Dennis W. Hong 136 0 0 06 May 2025
Policy-labeled Preference Learning: Is Preference Enough for RLHF? Taehyun Cho Seokhun Ju Seungyub Han Dohyeong Kim Kyungjae Lee Jungwoo Lee OffRL 29 0 0 06 May 2025
Predictive Coding for Decision Transformer Tung M. Luu Donghoon Lee Chang D. Yoo OffRL 63 2 0 04 Oct 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv Xiang Deng Gongwei Chen Michael Yu Wang Liqiang Nie 75 7 0 08 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 77 2 0 07 Jun 2024
A Tractable Inference Perspective of Offline RL Xuejie Liu Guy Van den Broeck Mathias Niepert Yitao Liang OffRL 34 1 0 31 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 32 43 0 12 Oct 2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 31 13 0 12 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 43 13 0 31 Aug 2023
Reinforcement Learning from Passive Data via Latent Intentions Dibya Ghosh Chethan Bhateja Sergey Levine OffRL 26 42 0 10 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 32 31 0 03 Apr 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 47 30 0 19 Feb 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 37 55 0 08 Jan 2023
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 47 360 0 28 Nov 2022
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments Keiran Paster Sheila A. McIlraith Jimmy Ba OffRL 170 27 0 31 May 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 140 95 0 28 Jan 2022