More from the Same Authors

• 2021 : Lifting the veil on hyper-parameters for value-baseddeep reinforcement learning »
  João Madeira Araújo · Johan Obando Ceron · Pablo Samuel Castro
• 2021 : Lifting the veil on hyper-parameters for value-baseddeep reinforcement learning »
  João Madeira Araújo · Johan Obando Ceron · Pablo Samuel Castro
• 2022 : Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks »
  Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc Bellemare
• 2022 : Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks »
  Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc Bellemare
• 2022 : Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks »
  Jesse Farebrother · Joshua Greaves · Rishabh Agarwal · Charline Le Lan · Ross Goroshin · Pablo Samuel Castro · Marc Bellemare
• 2022 : Variance Double-Down: The Small Batch Size Anomaly in Multistep Deep Reinforcement Learning »
  Johan Obando Ceron · Marc Bellemare · Pablo Samuel Castro
• 2023 Poster: Small batch deep reinforcement learning »
  Johan Obando Ceron · Marc Bellemare · Pablo Samuel Castro
• 2023 Poster: Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks »
  Maxime Chevalier-Boisvert · Bolun Dai · Mark Towers · Rodrigo Perez-Vicente · Lucas Willems · Salem Lahlou · Suman Pal · Pablo Samuel Castro · J Terry
• 2022 : Panel RL Benchmarks »
  Minmin Chen · Pablo Samuel Castro · Caglar Gulcehre · Tony Jebara · Peter Stone
• 2022 Workshop: Broadening Research Collaborations »
  Sara Hooker · Rosanne Liu · Pablo Samuel Castro · FatemehSadat Mireshghallah · Sunipa Dev · Benjamin Rosman · João Madeira Araújo · Savannah Thais · Sara Hooker · Sunny Sanyal · Tejumade Afonja · Swapneel Mehta · Tyler Zhu
• 2022 Poster: Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress »
  Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
• 2021 : Invited Talk: Pablo Castro (Google Brain) on Estimating Policy Functions in Payment Systems using Reinforcement Learning »
  Pablo Samuel Castro
• 2021 Workshop: Ecological Theory of Reinforcement Learning: How Does Task Design Influence Agent Learning? »
  Manfred Díaz · Hiroki Furuta · Elise van der Pol · Lisa Lee · Shixiang (Shane) Gu · Pablo Samuel Castro · Simon Du · Marc Bellemare · Sergey Levine
• 2021 Oral: Deep Reinforcement Learning at the Edge of the Statistical Precipice »
  Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
• 2021 : Lifting the veil on hyper-parameters for value-baseddeep reinforcement learning »
  João Madeira Araújo · Johan Obando Ceron · Pablo Samuel Castro
• 2021 Poster: Deep Reinforcement Learning at the Edge of the Statistical Precipice »
  Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
• 2021 Poster: The Difficulty of Passive Learning in Deep Reinforcement Learning »
  Georg Ostrovski · Pablo Samuel Castro · Will Dabney
• 2021 Poster: MICo: Improved representations via sampling-based state similarity for Markov decision processes »
  Pablo Samuel Castro · Tyler Kastner · Prakash Panangaden · Mark Rowland
• 2020 : Contributed Talk #3: Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning »
  Rishabh Agarwal · Marlos C. Machado · Pablo Samuel Castro · Marc Bellemare
• 2019 Poster: A Geometric Perspective on Optimal Representations for Reinforcement Learning »
  Marc Bellemare · Will Dabney · Robert Dadashi · Adrien Ali Taiga · Pablo Samuel Castro · Nicolas Le Roux · Dale Schuurmans · Tor Lattimore · Clare Lyle