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06/02/2023
Probabilistic Adaptation of Text-to-Video Models
Large text-to-video models trained on internet-scale data have demonstra...
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01/31/2023
Learning Universal Policies via Text-Guided Video Generation
A goal of artificial intelligence is to construct an agent that can solv...
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10/24/2022
Dichotomy of Control: Separating What You Can Control from What You Cannot
Future- or return-conditioned supervised learning is an emerging paradig...
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07/14/2022
Making Linear MDPs Practical via Contrastive Representation Learning
It is common to address the curse of dimensionality in Markov decision p...
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05/30/2022
Multi-Game Decision Transformers
A longstanding goal of the field of AI is a strategy for compiling diver...
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05/22/2022
Chain of Thought Imitation with Procedure Cloning
Imitation learning aims to extract high-performance policies from logged...
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04/18/2022
CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning
Conventionally, generation of natural language for dialogue agents may b...
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04/18/2022
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems
Goal-oriented dialogue systems face a trade-off between fluent language ...
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10/27/2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
The aim in imitation learning is to learn effective policies by utilizin...
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07/12/2021
Combiner: Full Attention Transformer with Sparse Computation Cost
Transformers provide a class of expressive architectures that are extrem...
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05/26/2021
Provable Representation Learning for Imitation with Contrastive Fourier Features
In imitation learning, it is common to learn a behavior policy to match ...
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03/30/2021
Benchmarks for Deep Off-Policy Evaluation
Off-policy evaluation (OPE) holds the promise of being able to leverage ...
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02/20/2021
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach
Reliable automatic evaluation of dialogue systems under an interactive e...
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02/11/2021
Representation Matters: Offline Pretraining for Sequential Decision Making
The recent success of supervised learning methods on ever larger offline...
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12/12/2020
Offline Policy Selection under Uncertainty
The presence of uncertainty in policy evaluation significantly complicat...
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07/07/2020
Off-Policy Evaluation via the Regularized Lagrangian
The recently proposed distribution correction estimation (DICE) family o...
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03/17/2020
Energy-Based Processes for Exchangeable Data
Recently there has been growing interest in modeling sets with exchangea...
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07/23/2019
BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground Truth
Interpretability is rising as an important area of research in machine l...
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05/02/2018