Robert Dadashi

According to our database1, Robert Dadashi authored at least 21 papers between 2018 and 2024.

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Bibliography

2024
BOND: Aligning LLMs with Best-of-N Distillation.
CoRR, 2024

WARP: On the Benefits of Weight Averaged Rewarded Policies.
CoRR, 2024

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.
CoRR, 2024

Gemma: Open Models Based on Gemini Research and Technology.
CoRR, 2024

WARM: On the Benefits of Weight Averaged Reward Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning.
CoRR, 2023

Offline Reinforcement Learning with On-Policy Q-Function Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Learning Energy Networks with Generalized Fenchel-Young Losses.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Continuous Control with Action Quantization from Demonstrations.
Proceedings of the International Conference on Machine Learning, 2022

Offline Reinforcement Learning as Anti-exploration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
What Matters for Adversarial Imitation Learning?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hyperparameter Selection for Imitation Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Offline Reinforcement Learning with Pseudometric Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Primal Wasserstein Imitation Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Show Me the Way: Intrinsic Motivation from Demonstrations.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

The Value-Improvement Path: Towards Better Representations for Reinforcement Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Statistics and Samples in Distributional Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

The Value Function Polytope in Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Boosting Model Performance through Differentially Private Model Aggregation.
CoRR, 2018


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