Related Events (a corresponding poster, oral, or spotlight)

• 2007 Oral: Exponential Family Predictive Representations of State »
  Wed. Dec 5th 07:30 -- 07:50 PM Room

More from the Same Authors

• 2020 Workshop: Deep Reinforcement Learning »
  Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Coline Devin · Misha Laskin · Kimin Lee · Janarthanan Rajendran · Vivek Veeriah
• 2019 Workshop: Deep Reinforcement Learning »
  Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Joshua Achiam · Carlos Florensa · Christopher Grimm · Haoran Tang · Vivek Veeriah
• 2019 Poster: Discovery of Useful Questions as Auxiliary Tasks »
  Vivek Veeriah · Matteo Hessel · Zhongwen Xu · Janarthanan Rajendran · Richard L Lewis · Junhyuk Oh · Hado van Hasselt · David Silver · Satinder Singh
• 2019 Poster: No-Press Diplomacy: Modeling Multi-Agent Gameplay »
  Philip Paquette · Yuchen Lu · SETON STEVEN BOCCO · Max Smith · Satya O.-G. · Jonathan K. Kummerfeld · Joelle Pineau · Satinder Singh · Aaron Courville
• 2018 Workshop: Deep Reinforcement Learning »
  Pieter Abbeel · David Silver · Satinder Singh · Joelle Pineau · Joshua Achiam · Rein Houthooft · Aravind Srinivas
• 2018 Poster: On Learning Intrinsic Rewards for Policy Gradient Methods »
  Zeyu Zheng · Junhyuk Oh · Satinder Singh
• 2018 Poster: Completing State Representations using Spectral Learning »
  Nan Jiang · Alex Kulesza · Satinder Singh
• 2017 : Afternoon Panel discussion »
  Brian Skyrms · Satinder Singh · Jacob Andreas
• 2017 : "Language Emergence as Boundedly Optimal Control" »
  Satinder Singh
• 2017 : Minimax-Regret Querying on Side Effects in Factored Markov Decision Processes »
  Satinder Singh
• 2017 : Invited Talk - Satindar Singh »
  Satinder Singh
• 2017 Symposium: Deep Reinforcement Learning »
  Pieter Abbeel · Yan Duan · David Silver · Satinder Singh · Junhyuk Oh · Rein Houthooft
• 2017 Poster: Repeated Inverse Reinforcement Learning »
  Kareem Amin · Nan Jiang · Satinder Singh
• 2017 Spotlight: Repeated Inverse Reinforcement Learning »
  Kareem Amin · Nan Jiang · Satinder Singh
• 2017 Poster: Value Prediction Network »
  Junhyuk Oh · Satinder Singh · Honglak Lee
• 2016 Workshop: Deep Reinforcement Learning »
  David Silver · Satinder Singh · Pieter Abbeel · Peter Chen
• 2015 Workshop: Deep Reinforcement Learning »
  Pieter Abbeel · John Schulman · Satinder Singh · David Silver
• 2015 Poster: Action-Conditional Video Prediction using Deep Networks in Atari Games »
  Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh
• 2015 Spotlight: Action-Conditional Video Prediction using Deep Networks in Atari Games »
  Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh
• 2014 Poster: Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning »
  Xiaoxiao Guo · Satinder Singh · Honglak Lee · Richard L Lewis · Xiaoshi Wang
• 2013 Poster: Reward Mapping for Transfer in Long-Lived Agents »
  Xiaoxiao Guo · Satinder Singh · Richard L Lewis
• 2013 Session: Oral Session 9 »
  Satinder Singh
• 2011 Poster: Nonstandard Interpretations of Probabilistic Programs for Efficient Inference »
  David Wingate · Noah Goodman · Andreas Stuhlmueller · Jeffrey Siskind
• 2010 Demonstration: Stochastic Matlab »
  David Wingate
• 2010 Poster: Reward Design via Online Gradient Ascent »
  Jonathan D Sorg · Satinder Singh · Richard L Lewis
• 2010 Poster: Nonparametric Bayesian Policy Priors for Reinforcement Learning »
  Finale P Doshi-Velez · David Wingate · Nicholas Roy · Josh Tenenbaum
• 2008 Poster: Simple Local Models for Complex Dynamical Systems »
  Erik Talvitie · Satinder Singh
• 2008 Oral: Simple Local Models for Complex Dynamical Systems »
  Erik Talvitie · Satinder Singh
• 2006 Workshop: Grounding Perception, Knowledge and Cognition in Sensori-Motor Experience »
  Michael James · David Wingate · Brian Tanner