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03/12/2023
Synthetic Experience Replay
A key theme in the past decade has been that when large neural networks ...
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10/23/2022
Learning General World Models in a Handful of Reward-Free Deployments
Building generally capable agents is a grand challenge for deep reinforc...
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07/19/2022
Bayesian Generational Population-Based Training
Reinforcement learning (RL) offers the potential for training generally ...
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07/03/2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Off-policy reinforcement learning (RL) from pixel observations is notori...
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06/09/2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Offline reinforcement learning has shown great promise in leveraging lar...
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10/08/2021
Revisiting Design Choices in Model-Based Offline Reinforcement Learning
Offline reinforcement learning enables agents to leverage large pre-coll...
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04/12/2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Reinforcement learning from large-scale offline datasets provides us wit...
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01/27/2021
OffCon^3: What is state of the art anyway?
Two popular approaches to model-free continuous control tasks are SAC an...
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10/28/2020
A Study on Efficiency in Continual Learning Inspired by Human Learning
Humans are efficient continual learning systems; we continually learn ne...
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09/24/2019
Demystifying active inference
Active inference is a first (Bayesian) principles account of how autonom...
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07/01/2019
