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07/20/2023
PASTA: Pretrained Action-State Transformer Agents
Self-supervised learning has brought about a revolutionary paradigm shif...
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06/24/2023
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
Despite the recent advancements in offline reinforcement learning via su...
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01/26/2023
Model-based Offline Reinforcement Learning with Local Misspecification
We present a model-based offline reinforcement learning policy performan...
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10/16/2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
Offline reinforcement learning (RL) can be used to improve future perfor...
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07/01/2022
Offline Policy Optimization with Eligible Actions
Offline policy optimization could have a large impact on many real-world...
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04/20/2022
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics
Although Reinforcement Learning (RL) is effective for sequential decisio...
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02/08/2021
Adversarially Guided Actor-Critic
Despite definite success in deep reinforcement learning problems, actor-...
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10/09/2020
Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients
Policy gradient algorithms have proven to be successful in diverse decis...
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09/26/2019
High-Dimensional Control Using Generalized Auxiliary Tasks
A long-standing challenge in reinforcement learning is the design of fun...
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04/08/2019
