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05/02/2023
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
In this work, we present Conditional Adversarial Latent Models (CALM), a...
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07/05/2022
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
Cloud datacenters are exponentially growing both in numbers and size. Th...
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06/13/2022
Towards Autonomous Grading In The Real World
In this work, we aim to tackle the problem of autonomous grading, where ...
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02/28/2021
Ensemble Bootstrapping for Q-Learning
Q-learning (QL), a common reinforcement learning algorithm, suffers from...
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02/18/2021
Reinforcement Learning for Datacenter Congestion Control
We approach the task of network congestion control in datacenters using ...
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02/09/2020
Maximizing the Total Reward via Reward Tweaking
In reinforcement learning, the discount factor γ controls the agent's ef...
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10/02/2019
Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients
In recent years, advances in deep learning have enabled the application ...
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10/02/2019
Natural Language State Representation for Reinforcement Learning
Recent advances in Reinforcement Learning have highlighted the difficult...
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05/23/2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control
We identify a fundamental problem in policy gradient-based methods in co...
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05/23/2019
Inverse Reinforcement Learning in Contextual MDPs
We consider the Inverse Reinforcement Learning (IRL) problem in Contextu...
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05/23/2019
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces
We propose a computationally efficient algorithm that combines compresse...
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01/26/2019
Action Robust Reinforcement Learning and Applications in Continuous Control
A policy is said to be robust if it maximizes the reward while consideri...
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05/28/2018