More from the Same Authors

• 2022 Poster: Retrieval-Augmented Reinforcement Learning »
  Anirudh Goyal · Abe Friesen Friesen · Andrea Banino · Theophane Weber · Nan Rosemary Ke · Adrià Puigdomenech Badia · Arthur Guez · Mehdi Mirza · Peter Humphreys · Ksenia Konyushkova · Michal Valko · Simon Osindero · Timothy Lillicrap · Nicolas Heess · Charles Blundell
• 2022 Spotlight: Retrieval-Augmented Reinforcement Learning »
  Anirudh Goyal · Abe Friesen Friesen · Andrea Banino · Theophane Weber · Nan Rosemary Ke · Adrià Puigdomenech Badia · Arthur Guez · Mehdi Mirza · Peter Humphreys · Ksenia Konyushkova · Michal Valko · Simon Osindero · Timothy Lillicrap · Nicolas Heess · Charles Blundell
• 2022 Poster: Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games »
  Siqi Liu · Marc Lanctot · Luke Marris · Nicolas Heess
• 2022 Spotlight: Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games »
  Siqi Liu · Marc Lanctot · Luke Marris · Nicolas Heess
• 2021 Poster: Data-efficient Hindsight Off-policy Option Learning »
  Markus Wulfmeier · Dushyant Rao · Roland Hafner · Thomas Lampe · Abbas Abdolmaleki · Tim Hertweck · Michael Neunert · Dhruva Tirumala Bukkapatnam · Noah Siegel · Nicolas Heess · Martin Riedmiller
• 2021 Spotlight: Data-efficient Hindsight Off-policy Option Learning »
  Markus Wulfmeier · Dushyant Rao · Roland Hafner · Thomas Lampe · Abbas Abdolmaleki · Tim Hertweck · Michael Neunert · Dhruva Tirumala Bukkapatnam · Noah Siegel · Nicolas Heess · Martin Riedmiller
• 2021 Poster: Counterfactual Credit Assignment in Model-Free Reinforcement Learning »
  Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos
• 2021 Spotlight: Counterfactual Credit Assignment in Model-Free Reinforcement Learning »
  Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos
• 2020 : QA for invited talk 6 Heess »
  Nicolas Heess
• 2020 : Invited talk 6 Heess »
  Nicolas Heess
• 2020 Poster: CoMic: Complementary Task Learning & Mimicry for Reusable Skills »
  Leonard Hasenclever · Fabio Pardo · Raia Hadsell · Nicolas Heess · Josh Merel
• 2020 Poster: Stabilizing Transformers for Reinforcement Learning »
  Emilio Parisotto · Francis Song · Jack Rae · Razvan Pascanu · Caglar Gulcehre · Siddhant Jayakumar · Max Jaderberg · Raphael Lopez Kaufman · Aidan Clark · Seb Noury · Matthew Botvinick · Nicolas Heess · Raia Hadsell
• 2020 Poster: A distributional view on multi-objective policy optimization »
  Abbas Abdolmaleki · Sandy Huang · Leonard Hasenclever · Michael Neunert · Francis Song · Martina Zambelli · Murilo Martins · Nicolas Heess · Raia Hadsell · Martin Riedmiller
• 2019 Poster: Composing Entropic Policies using Divergence Correction »
  Jonathan Hunt · Andre Barreto · Timothy Lillicrap · Nicolas Heess
• 2019 Oral: Composing Entropic Policies using Divergence Correction »
  Jonathan Hunt · Andre Barreto · Timothy Lillicrap · Nicolas Heess
• 2018 Poster: Mix & Match - Agent Curricula for Reinforcement Learning »
  Wojciech Czarnecki · Siddhant Jayakumar · Max Jaderberg · Leonard Hasenclever · Yee Teh · Nicolas Heess · Simon Osindero · Razvan Pascanu
• 2018 Oral: Mix & Match - Agent Curricula for Reinforcement Learning »
  Wojciech Czarnecki · Siddhant Jayakumar · Max Jaderberg · Leonard Hasenclever · Yee Teh · Nicolas Heess · Simon Osindero · Razvan Pascanu
• 2018 Poster: Learning by Playing - Solving Sparse Reward Tasks from Scratch »
  Martin Riedmiller · Roland Hafner · Thomas Lampe · Michael Neunert · Jonas Degrave · Tom Van de Wiele · Vlad Mnih · Nicolas Heess · Jost Springenberg
• 2018 Poster: Graph Networks as Learnable Physics Engines for Inference and Control »
  Alvaro Sanchez-Gonzalez · Nicolas Heess · Jost Springenberg · Josh Merel · Martin Riedmiller · Raia Hadsell · Peter Battaglia
• 2018 Oral: Learning by Playing - Solving Sparse Reward Tasks from Scratch »
  Martin Riedmiller · Roland Hafner · Thomas Lampe · Michael Neunert · Jonas Degrave · Tom Van de Wiele · Vlad Mnih · Nicolas Heess · Jost Springenberg
• 2018 Oral: Graph Networks as Learnable Physics Engines for Inference and Control »
  Alvaro Sanchez-Gonzalez · Nicolas Heess · Jost Springenberg · Josh Merel · Martin Riedmiller · Raia Hadsell · Peter Battaglia
• 2017 Poster: FeUdal Networks for Hierarchical Reinforcement Learning »
  Alexander Vezhnevets · Simon Osindero · Tom Schaul · Nicolas Heess · Max Jaderberg · David Silver · Koray Kavukcuoglu
• 2017 Talk: FeUdal Networks for Hierarchical Reinforcement Learning »
  Alexander Vezhnevets · Simon Osindero · Tom Schaul · Nicolas Heess · Max Jaderberg · David Silver · Koray Kavukcuoglu