Silviu Pitis

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Reinforcement Learning

Temporal Difference

Multiarmed Bandit

Maximum Entropy

Top Venues

Publications

Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni
Improving Context-Aware Preference Modeling for Language Models. CoRR (2024)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. ICLR (2024)
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
Large Language Models are Human-Level Prompt Engineers. ICLR (2023)
Silviu Pitis
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards. CoRR (2023)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. CoRR (2023)
Silviu Pitis, Michael R. Zhang, Andrew Wang, Jimmy Ba
Boosted Prompt Ensembles for Large Language Models. CoRR (2023)
Silviu Pitis
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards. NeurIPS (2023)
Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg
MoCoDA: Model-based Counterfactual Data Augmentation. NeurIPS (2022)
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
Large Language Models Are Human-Level Prompt Engineers. CoRR (2022)
Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg
MoCoDA: Model-based Counterfactual Data Augmentation. CoRR (2022)
Silviu Pitis, Michael R. Zhang
Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes. CoRR (2020)
Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. ICLR (2020)
Silviu Pitis, Michael R. Zhang
Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes. AAMAS (2020)
Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. ICML (2020)
Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. CoRR (2020)
Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. CoRR (2020)
Silviu Pitis, Elliot Creager, Animesh Garg
Counterfactual Data Augmentation using Locally Factored Dynamics. NeurIPS (2020)
Silviu Pitis, Elliot Creager, Animesh Garg
Counterfactual Data Augmentation using Locally Factored Dynamics. CoRR (2020)
Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. AAAI (2020)
Silviu Pitis
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. AAAI (2019)
Silviu Pitis
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach. CoRR (2019)
Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. CoRR (2019)
Silviu Pitis
Source Traces for Temporal Difference Learning. CoRR (2019)
Silviu Pitis
Source Traces for Temporal Difference Learning. AAAI (2018)
Silviu Pitis
Methods for retrieving alternative contract language using a prototype. ICAIL (2017)