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ORCIDHarsh Satija
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2020 – today
- 2023
[j1]Harsh Satija, Alessandro Lazaric, Matteo Pirotta, Joelle Pineau:
Group Fairness in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)- 2021
- [c5]Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup:
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. ICML 2021: 275-285 - [c4]Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche:
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. NeurIPS 2021: 2004-2017 - [i6]Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche:
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. CoRR abs/2106.00099 (2021) - [i5]Susan Amin, Maziar Gomrokchi, Harsh Satija, Herke van Hoof, Doina Precup:
A Survey of Exploration Methods in Reinforcement Learning. CoRR abs/2109.00157 (2021) - 2020
- [c3]Harsh Satija, Philip Amortila, Joelle Pineau:
Constrained Markov Decision Processes via Backward Value Functions. ICML 2020: 8502-8511 - [i4]Harsh Satija, Philip Amortila, Joelle Pineau:
Constrained Markov Decision Processes via Backward Value Functions. CoRR abs/2008.11811 (2020) - [i3]Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup:
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. CoRR abs/2012.13658 (2020)
2010 – 2019
- 2019
- [c2]Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent:
Randomized Value Functions via Multiplicative Normalizing Flows. UAI 2019: 422-432 - 2018
- [c1]Amy Zhang, Harsh Satija, Joelle Pineau:
Decoupling Dynamics and Reward for Transfer Learning. ICLR (Workshop) 2018 - [i2]Amy Zhang
, Harsh Satija, Joelle Pineau:
Decoupling Dynamics and Reward for Transfer Learning. CoRR abs/1804.10689 (2018) - [i1]Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent:
Randomized Value Functions via Multiplicative Normalizing Flows. CoRR abs/1806.02315 (2018)
Coauthor Index
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