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11/08/2022
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning
Given a dataset of expert agent interactions with an environment of inte...
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06/01/2022
DM^2: Distributed Multi-Agent Reinforcement Learning for Distribution Matching
Current approaches to multi-agent cooperation rely heavily on centralize...
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10/28/2021
Wasserstein Distance Maximizing Intrinsic Control
This paper deals with the problem of learning a skill-conditioned policy...
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05/27/2021
Adversarial Intrinsic Motivation for Reinforcement Learning
Learning with an objective to minimize the mismatch with a reference dis...
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08/15/2020
Reducing Sampling Error in Batch Temporal Difference Learning
Temporal difference (TD) learning is one of the main foundations of mode...
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08/04/2020
An Imitation from Observation Approach to Sim-to-Real Transfer
The sim to real transfer problem deals with leveraging large amounts of ...
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04/05/2019
Multi-Preference Actor Critic
Policy gradient algorithms typically combine discounted future rewards w...
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11/15/2017
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Knowledge bases (KB), both automatically and manually constructed, are o...
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11/05/2016
Generative Multi-Adversarial Networks
Generative adversarial networks (GANs) are a framework for producing a g...
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08/21/2016