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02/01/2023
Selective Uncertainty Propagation in Offline RL
We study the finite-horizon offline reinforcement learning (RL) problem....
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04/25/2022
Imitation Learning from Observations under Transition Model Disparity
Learning to perform tasks by leveraging a dataset of expert observations...
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09/18/2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
Meta-reinforcement learning (meta-RL) algorithms allow for agents to lea...
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11/05/2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
Quality-Diversity (QD) is a concept from Neuroevolution with some intrig...
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10/23/2020
Learning Guidance Rewards with Trajectory-space Smoothing
Long-term temporal credit assignment is an important challenge in deep r...
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06/12/2020
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch
Deep reinforcement learning (RL) algorithms have achieved great success ...
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02/27/2020
State-only Imitation with Transition Dynamics Mismatch
Imitation Learning (IL) is a popular paradigm for training agents to ach...
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06/22/2019
Learning Belief Representations for Imitation Learning in POMDPs
We consider the problem of imitation learning from expert demonstrations...
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05/20/2019
Partial Redundancy Elimination using Lazy Code Motion
Partial Redundancy Elimination (PRE) is a compiler optimization that eli...
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11/26/2018
Distributed and Secure ML with Self-tallying Multi-party Aggregation
Privacy preserving multi-party computation has many applications in area...
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05/25/2018
Learning Self-Imitating Diverse Policies
Deep reinforcement learning algorithms, including policy gradient method...
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11/03/2017
