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09/20/2023
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
The Languini Kitchen serves as both a research collective and codebase d...
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07/04/2022
Goal-Conditioned Generators of Deep Policies
Goal-conditioned Reinforcement Learning (RL) aims at learning optimal po...
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07/04/2022
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States
Learning to evaluate and improve policies is a core problem of Reinforce...
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06/03/2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
Neural ordinary differential equations (ODEs) have attracted much attent...
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05/13/2022
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets
Upside-Down Reinforcement Learning (UDRL) is an approach for solving RL ...
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07/19/2021
Reward-Weighted Regression Converges to a Global Optimum
Reward-Weighted Regression (RWR) belongs to a family of widely known ite...
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07/12/2021
Bayesian brains and the Rényi divergence
Under the Bayesian brain hypothesis, behavioural variations can be attri...
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06/16/2020
Parameter-based Value Functions
Learning value functions off-policy is at the core of modern Reinforceme...
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09/17/2018
