Dibya Ghosh | DeepAI

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∙ 07/22/2023

HIQL: Offline Goal-Conditioned RL with Latent States as Actions

Unsupervised pre-training has recently become the bedrock for computer v...

0 Seohong Park, et al. ∙

∙ 04/10/2023

Reinforcement Learning from Passive Data via Latent Intentions

Passive observational data, such as human videos, is abundant and rich i...

0 Dibya Ghosh, et al. ∙

∙ 10/06/2022

Distributionally Adaptive Meta Reinforcement Learning

Meta-reinforcement learning algorithms provide a data-driven way to acqu...

0 Anurag Ajay, et al. ∙

∙ 07/05/2022

Offline RL Policies Should be Trained to be Adaptive

Offline RL algorithms must account for the fact that the dataset they ar...

0 Dibya Ghosh, et al. ∙

∙ 07/13/2021

Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

Generalization is a central challenge for the deployment of reinforcemen...

5 Dibya Ghosh, et al. ∙

∙ 10/27/2020

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning

We identify an implicit under-parameterization phenomenon in value-based...

0 Aviral Kumar, et al. ∙

∙ 07/10/2020

Representations for Stable Off-Policy Reinforcement Learning

Reinforcement learning with function approximation can be unstable and e...

14 Dibya Ghosh, et al. ∙

∙ 02/28/2020

On Catastrophic Interference in Atari 2600 Games

Model-free deep reinforcement learning algorithms are troubled with poor...

8 William Fedus, et al. ∙

∙ 12/12/2019

Learning To Reach Goals Without Reinforcement Learning

Imitation learning algorithms provide a simple and straightforward appro...

0 Dibya Ghosh, et al. ∙

∙ 11/19/2018

Learning Actionable Representations with Goal-Conditioned Policies

Representation learning is a central challenge across a range of machine...

0 Dibya Ghosh, et al. ∙

∙ 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 ...

0 Justin Fu, et al. ∙

∙ 11/27/2017

Divide-and-Conquer Reinforcement Learning

Standard model-free deep reinforcement learning (RL) algorithms sample a...

0 Dibya Ghosh, et al. ∙

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