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03/15/2023
Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning
One of the key behavioral characteristics used in neuroscience to determ...
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10/31/2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
Learning to control an agent from data collected offline in a rich pixel...
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07/01/2022
Modular Lifelong Reinforcement Learning via Neural Composition
Humans commonly solve complex problems by decomposing them into easier s...
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04/25/2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
In recent years, a growing number of deep model-based reinforcement lear...
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03/09/2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language
Humans have the capability, aided by the expressive compositionality of ...
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07/13/2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
We propose the k-Shortest-Path (k-SP) constraint: a novel constraint on ...
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10/02/2020
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms
We investigate the discounting mismatch in actor-critic algorithm implem...
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07/07/2020
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Deep model-based Reinforcement Learning (RL) has the potential to substa...
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06/03/2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
In an effort to better understand the different ways in which the discou...
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09/07/2018
Learning Invariances for Policy Generalization
While recent progress has spawned very powerful machine learning systems...
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04/03/2017
Multi-Advisor Reinforcement Learning
We consider tackling a single-agent RL problem by distributing it to n l...
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12/15/2016
Separation of Concerns in Reinforcement Learning
In this paper, we propose a framework for solving a single-agent task by...
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12/13/2015
True Online Temporal-Difference Learning
The temporal-difference methods TD(λ) and Sarsa(λ) form a core part of m...
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07/01/2015
An Empirical Evaluation of True Online TD(λ)
The true online TD(λ) algorithm has recently been proposed (van Seijen a...
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01/10/2013
