Lucas Lehnert | DeepAI

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∙ 06/01/2023

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control

Model-based reinforcement learning (RL) has shown great promise due to i...

0 Rohan Chitnis, et al. ∙

∙ 11/07/2022

Reward-Predictive Clustering

Recent advances in reinforcement-learning research have demonstrated imp...

0 Lucas Lehnert, et al. ∙

∙ 01/31/2019

Successor Features Support Model-based and Model-free Reinforcement Learning

One key challenge in reinforcement learning is the ability to generalize...

14 Lucas Lehnert, et al. ∙

∙ 12/03/2018

Mitigating Planner Overfitting in Model-Based Reinforcement Learning

An agent with an inaccurate model of its environment faces a difficult c...

0 Dilip Arumugam, et al. ∙

∙ 07/04/2018

Transfer with Model Features in Reinforcement Learning

A key question in Reinforcement Learning is which representation an agen...

2 Lucas Lehnert, et al. ∙

∙ 07/31/2017

Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning

One question central to Reinforcement Learning is how to learn a feature...

0 Lucas Lehnert, et al. ∙

∙ 12/13/2015

Policy Gradient Methods for Off-policy Control

Off-policy learning refers to the problem of learning the value function...

0 Lucas Lehnert, et al. ∙

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