Timezone: »
Estimating long term returns given short data trajectories remains a core technique in deep reinforcement learning. Remarkably, deep reinforcement learning in-the-wild often succeeds even when theoretical assumptions needed to guarantee good performance are neglected. I will discuss two recent investigations that shed some light on this phenomenon. First, I will discuss some findings about the implicit biases embodied by different value estimation algorithms, and why apparently unsound methods can still exhibit generalization advantages. Then I will discuss some recent ideas about how the risk of self-delusion in value estimation can be reduced through temporal grounding. These observations do not close the investigation, but do offer alternative prospects for improving deep value estimation in practice.
Author Information
Dale Schuurmans (Google Brain & University of Alberta)
More from the Same Authors
-
2021 Spotlight: Combiner: Full Attention Transformer with Sparse Computation Cost »
Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai -
2021 : Offline Policy Selection under Uncertainty »
Mengjiao (Sherry) Yang · Bo Dai · Ofir Nachum · George Tucker · Dale Schuurmans -
2022 Poster: A Simple Decentralized Cross-Entropy Method »
Zichen Zhang · Jun Jin · Martin Jagersand · Jun Luo · Dale Schuurmans -
2022 Poster: Chain of Thought Imitation with Procedure Cloning »
Mengjiao (Sherry) Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum -
2022 Poster: Optimal Scaling for Locally Balanced Proposals in Discrete Spaces »
Haoran Sun · Hanjun Dai · Dale Schuurmans -
2022 Poster: The Role of Baselines in Policy Gradient Optimization »
Jincheng Mei · Wesley Chung · Valentin Thomas · Bo Dai · Csaba Szepesvari · Dale Schuurmans -
2022 Poster: Chain of Thought Prompting Elicits Reasoning in Large Language Models »
Jason Wei · Xuezhi Wang · Dale Schuurmans · Maarten Bosma · brian ichter · Fei Xia · Ed Chi · Quoc V Le · Denny Zhou -
2022 Poster: On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games »
Runyu Zhang · Jincheng Mei · Bo Dai · Dale Schuurmans · Na Li -
2021 : Dale Schuurmans Talk Q&A »
Dale Schuurmans -
2021 Poster: Combiner: Full Attention Transformer with Sparse Computation Cost »
Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai -
2021 Poster: Understanding the Effect of Stochasticity in Policy Optimization »
Jincheng Mei · Bo Dai · Chenjun Xiao · Csaba Szepesvari · Dale Schuurmans -
2019 Poster: Maximum Entropy Monte-Carlo Planning »
Chenjun Xiao · Ruitong Huang · Jincheng Mei · Dale Schuurmans · Martin Müller -
2019 Poster: Surrogate Objectives for Batch Policy Optimization in One-step Decision Making »
Minmin Chen · Ramki Gummadi · Chris Harris · Dale Schuurmans -
2019 Poster: Invertible Convolutional Flow »
Mahdi Karami · Dale Schuurmans · Jascha Sohl-Dickstein · Laurent Dinh · Daniel Duckworth -
2019 Spotlight: Invertible Convolutional Flow »
Mahdi Karami · Dale Schuurmans · Jascha Sohl-Dickstein · Laurent Dinh · Daniel Duckworth -
2018 : Off-policy Policy Optimization (Dale Schuurmans) »
Dale Schuurmans -
2017 Poster: Bridging the Gap Between Value and Policy Based Reinforcement Learning »
Ofir Nachum · Mohammad Norouzi · Kelvin Xu · Dale Schuurmans -
2017 Poster: Multi-view Matrix Factorization for Linear Dynamical System Estimation »
Mahdi Karami · Martha White · Dale Schuurmans · Csaba Szepesvari -
2016 Poster: Deep Learning Games »
Dale Schuurmans · Martin A Zinkevich -
2016 Poster: Reward Augmented Maximum Likelihood for Neural Structured Prediction »
Mohammad Norouzi · Samy Bengio · zhifeng Chen · Navdeep Jaitly · Mike Schuster · Yonghui Wu · Dale Schuurmans -
2015 Poster: Embedding Inference for Structured Multilabel Prediction »
Farzaneh Mirzazadeh · Siamak Ravanbakhsh · Nan Ding · Dale Schuurmans -
2014 Workshop: Representation and Learning Methods for Complex Outputs »
Richard Zemel · Dale Schuurmans · Kilian Q Weinberger · Yuhong Guo · Jia Deng · Francesco Dinuzzo · Hal Daumé III · Honglak Lee · Noah A Smith · Richard Sutton · Jiaqian YU · Vitaly Kuznetsov · Luke Vilnis · Hanchen Xiong · Calvin Murdock · Thomas Unterthiner · Jean-Francis Roy · Martin Renqiang Min · Hichem SAHBI · Fabio Massimo Zanzotto -
2014 Poster: Convex Deep Learning via Normalized Kernels »
Özlem Aslan · Xinhua Zhang · Dale Schuurmans -
2013 Workshop: Output Representation Learning »
Yuhong Guo · Dale Schuurmans · Richard Zemel · Samy Bengio · Yoshua Bengio · Li Deng · Dan Roth · Kilian Q Weinberger · Jason Weston · Kihyuk Sohn · Florent Perronnin · Gabriel Synnaeve · Pablo R Strasser · julien audiffren · Carlo Ciliberto · Dan Goldwasser -
2013 Poster: Convex Two-Layer Modeling »
Özlem Aslan · Hao Cheng · Xinhua Zhang · Dale Schuurmans -
2013 Spotlight: Convex Two-Layer Modeling »
Özlem Aslan · Hao Cheng · Xinhua Zhang · Dale Schuurmans -
2013 Poster: Polar Operators for Structured Sparse Estimation »
Xinhua Zhang · Yao-Liang Yu · Dale Schuurmans -
2012 Poster: Convex Multi-view Subspace Learning »
Martha White · Yao-Liang Yu · Xinhua Zhang · Dale Schuurmans -
2012 Poster: Accelerated Training for Matrix-norm Regularization: A Boosting Approach »
Xinhua Zhang · Yao-Liang Yu · Dale Schuurmans -
2012 Poster: A Polynomial-time Form of Robust Regression »
Yao-Liang Yu · Özlem Aslan · Dale Schuurmans -
2010 Poster: Relaxed Clipping: A Global Training Method for Robust Regression and Classification »
Yao-Liang Yu · Min Yang · Linli Xu · Martha White · Dale Schuurmans -
2009 Poster: Convex Relaxation of Mixture Regression with Efficient Algorithms »
Novi Quadrianto · Tiberio Caetano · John Lim · Dale Schuurmans -
2009 Poster: A General Projection Property for Distribution Families »
Yao-Liang Yu · Yuxi Li · Dale Schuurmans · Csaba Szepesvari -
2007 Spotlight: Stable Dual Dynamic Programming »
Tao Wang · Daniel Lizotte · Michael Bowling · Dale Schuurmans -
2007 Poster: Stable Dual Dynamic Programming »
Tao Wang · Daniel Lizotte · Michael Bowling · Dale Schuurmans -
2007 Session: Spotlights »
Dale Schuurmans -
2007 Poster: Convex Relaxations of EM »
Yuhong Guo · Dale Schuurmans -
2007 Poster: Discriminative Batch Mode Active Learning »
Yuhong Guo · Dale Schuurmans -
2006 Poster: Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields »
Chi-Hoon Lee · Shaojun Wang · Feng Jiao · Dale Schuurmans · Russell Greiner -
2006 Poster: implicit Online Learning with Kernels »
Li Cheng · Vishwanathan S V N · Dale Schuurmans · Shaojun Wang · Terry Caelli