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07/08/2019
General non-linear Bellman equations
We consider a general class of non-linear Bellman equations. These open ...
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06/19/2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
We consider the core reinforcement-learning problem of on-policy value f...
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06/12/2019
Fast Task Inference with Variational Intrinsic Successor Features
It has been established that diverse behaviors spanning the controllable...
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01/30/2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
The ability to transfer skills across tasks has the potential to scale u...
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12/18/2018
Universal Successor Features Approximators
The ability of a reinforcement learning (RL) agent to learn about many r...
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12/05/2018
Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction
Deep reinforcement learning (RL) algorithms have made great strides in r...
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10/18/2018
Fast deep reinforcement learning using online adjustments from the past
We propose Ephemeral Value Adjusments (EVA): a means of allowing deep re...
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07/09/2018
Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem
Temporal-Difference learning (TD) [Sutton, 1988] with function approxima...
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02/22/2018
Unicorn: Continual Learning with a Universal, Off-policy Agent
Some real-world domains are best characterized as a single task, but for...
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12/28/2016
The Predictron: End-To-End Learning and Planning
One of the key challenges of artificial intelligence is to learn models ...
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06/16/2016