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12/21/2022
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Imitation learning (IL) is a simple and powerful way to use high-quality...
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10/18/2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
We demonstrate the first large-scale application of model-based generati...
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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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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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02/16/2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
In this work we consider data-driven optimization problems where one mus...
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05/04/2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
In this tutorial article, we aim to provide the reader with the conceptu...
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04/15/2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
The offline reinforcement learning (RL) problem, also referred to as bat...
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04/15/2020
Datasets for Data-Driven Reinforcement Learning
The offline reinforcement learning (RL) problem, also referred to as bat...
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12/12/2019
Learning To Reach Goals Without Reinforcement Learning
Imitation learning algorithms provide a simple and straightforward appro...
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06/19/2019
When to Trust Your Model: Model-Based Policy Optimization
Designing effective model-based reinforcement learning algorithms is dif...
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06/03/2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Off-policy reinforcement learning aims to leverage experience collected ...
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02/26/2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms
Q-learning methods represent a commonly used class of algorithms in rein...
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02/20/2019
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following
Reinforcement learning is a promising framework for solving control prob...
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05/29/2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
The design of a reward function often poses a major practical challenge ...
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12/01/2016