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05/29/2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
Multi-step learning applies lookahead over multiple time steps and has p...
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03/02/2023
Understanding plasticity in neural networks
Plasticity, the ability of a neural network to quickly change its predic...
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02/28/2023
Hierarchical Reinforcement Learning in Complex 3D Environments
Hierarchical Reinforcement Learning (HRL) agents have the potential to d...
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12/06/2022
Understanding Self-Predictive Learning for Reinforcement Learning
We study the learning dynamics of self-predictive learning for reinforce...
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07/15/2022
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
We study the multi-step off-policy learning approach to distributional R...
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06/16/2022
BYOL-Explore: Exploration by Bootstrapped Prediction
We present BYOL-Explore, a conceptually simple yet general approach for ...
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02/03/2021
Neural Recursive Belief States in Multi-Agent Reinforcement Learning
In multi-agent reinforcement learning, the problem of learning to act is...
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01/06/2021
Geometric Entropic Exploration
Exploration is essential for solving complex Reinforcement Learning (RL)...
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06/13/2020
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
We introduce Bootstrap Your Own Latent (BYOL), a new approach to self-su...
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04/30/2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Learning a good representation is an essential component for deep reinfo...
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02/20/2019
World Discovery Models
As humans we are driven by a strong desire for seeking novelty in our wo...
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09/20/2016
Multiclass Classification Calibration Functions
In this paper we refine the process of computing calibration functions f...
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02/19/2016
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models
In this paper we study a model-based approach to calculating approximate...
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06/27/2012
