Timezone: »
Social
RL Social
Dibya Ghosh · Hager Radi · Derek Li · Alex Ayoub · Erfan Miahi · Rishabh Agarwal · Charline Le Lan · Abhishek Naik · John Martin · Shruti Mishra · Adrien Ali Taiga
Thu Jul 22 05:00 PM -- 07:00 PM (PDT) @
We invite anyone interested in reinforcement learning to join us in a GatherTown-format social. The goal is to connect both new and experienced RL researchers, to share ideas and discuss their recent work. Folks from anywhere in the world are welcome to participate, provided the timing is compatible with their schedule.
Author Information
Dibya Ghosh (Google)
Hager Radi (University of Alberta)
Derek Li (University of Alberta)
Alex Ayoub (University of Alberta)
Erfan Miahi (University of Alberta)
Rishabh Agarwal (Google Research, Brain Team)
Charline Le Lan (University of Oxford)
Abhishek Naik (University of Alberta; Amii)
John Martin (University of Alberta)
Shruti Mishra (Harvard, Mila)
Adrien Ali Taiga (Université de Montréal)
More from the Same Authors
-
2021 : Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability »
Dibya Ghosh · Jad Rahme · Aviral Kumar · Amy Zhang · Ryan P. Adams · Sergey Levine -
2021 : Value-Based Deep Reinforcement Learning Requires Explicit Regularization »
Aviral Kumar · Rishabh Agarwal · Aaron Courville · Tengyu Ma · George Tucker · Sergey Levine -
2021 : Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation »
Evgenii Nikishin · Romina Abachi · Rishabh Agarwal · Pierre-Luc Bacon -
2021 : Value-Based Deep Reinforcement Learning Requires Explicit Regularization »
Aviral Kumar · Rishabh Agarwal · Aaron Courville · Tengyu Ma · George Tucker · Sergey Levine -
2021 : Value-Based Deep Reinforcement Learning Requires Explicit Regularization »
Aviral Kumar · Rishabh Agarwal · Aaron Courville · Tengyu Ma · George Tucker · Sergey Levine -
2022 : Distributionally Adaptive Meta Reinforcement Learning »
Anurag Ajay · Dibya Ghosh · Sergey Levine · Pulkit Agrawal · Abhishek Gupta -
2022 : Distributionally Adaptive Meta Reinforcement Learning »
Anurag Ajay · Dibya Ghosh · Sergey Levine · Pulkit Agrawal · Abhishek Gupta -
2022 Poster: Offline RL Policies Should Be Trained to be Adaptive »
Dibya Ghosh · Anurag Ajay · Pulkit Agrawal · Sergey Levine -
2022 Oral: Offline RL Policies Should Be Trained to be Adaptive »
Dibya Ghosh · Anurag Ajay · Pulkit Agrawal · Sergey Levine -
2022 Social: Designing an RL system toward AGI »
Yi Wan · Alex Ayoub -
2021 : Value-Based Deep Reinforcement Learning Requires Explicit Regularization »
Aviral Kumar · Rishabh Agarwal · Aaron Courville · Tengyu Ma · George Tucker · Sergey Levine -
2021 : Invited Talk 1 (Charline Le Lan): On the use of density models for anomaly detection »
Charline Le Lan -
2021 Poster: Randomized Exploration in Reinforcement Learning with General Value Function Approximation »
Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang -
2021 Spotlight: Randomized Exploration in Reinforcement Learning with General Value Function Approximation »
Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang -
2021 Poster: Learning and Planning in Average-Reward Markov Decision Processes »
Yi Wan · Abhishek Naik · Richard Sutton -
2021 Spotlight: Learning and Planning in Average-Reward Markov Decision Processes »
Yi Wan · Abhishek Naik · Richard Sutton -
2020 Poster: Model-Based Reinforcement Learning with Value-Targeted Regression »
Alex Ayoub · Zeyu Jia · Csaba Szepesvari · Mengdi Wang · Lin Yang -
2020 Poster: Revisiting Fundamentals of Experience Replay »
William Fedus · Prajit Ramachandran · Rishabh Agarwal · Yoshua Bengio · Hugo Larochelle · Mark Rowland · Will Dabney -
2020 Poster: An Optimistic Perspective on Offline Deep Reinforcement Learning »
Rishabh Agarwal · Dale Schuurmans · Mohammad Norouzi -
2020 Poster: Stochastically Dominant Distributional Reinforcement Learning »
John Martin · Michal Lyskawinski · Xiaohu Li · Brendan Englot -
2020 Poster: Representations for Stable Off-Policy Reinforcement Learning »
Dibya Ghosh · Marc Bellemare -
2019 : Poster Session #1 »
Adrien Ali Taiga · Aniket Anand Deshmukh · Tabish Rashid · Jonathan Binas · Nikolaus Yasui · Vitchyr Pong · Takahisa Imagawa · Jesse Clifton · Siddharth Mysore · Shi-Chun Tsai · Caleb Chuck · Giulia Vezzani · Hannes Bengt Eriksson -
2019 Poster: Learning to Generalize from Sparse and Underspecified Rewards »
Rishabh Agarwal · Chen Liang · Dale Schuurmans · Mohammad Norouzi -
2019 Oral: Learning to Generalize from Sparse and Underspecified Rewards »
Rishabh Agarwal · Chen Liang · Dale Schuurmans · Mohammad Norouzi -
2019 Poster: The Value Function Polytope in Reinforcement Learning »
Robert Dadashi · Marc Bellemare · Adrien Ali Taiga · Nicolas Le Roux · Dale Schuurmans -
2019 Oral: The Value Function Polytope in Reinforcement Learning »
Robert Dadashi · Marc Bellemare · Adrien Ali Taiga · Nicolas Le Roux · Dale Schuurmans