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06/16/2023
Bootstrapped Representations in Reinforcement Learning
In reinforcement learning (RL), state representations are key to dealing...
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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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01/11/2023
An Analysis of Quantile Temporal-Difference Learning
We analyse quantile temporal-difference learning (QTD), a distributional...
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11/01/2021
On the Expressivity of Markov Reward
Reward is the driving force for reinforcement-learning agents. This pape...
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11/18/2020
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Credit assignment in reinforcement learning is the problem of measuring ...
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11/02/2020
Useful Policy Invariant Shaping from Arbitrary Advice
Reinforcement learning is a powerful learning paradigm in which agents c...
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12/05/2019
Hindsight Credit Assignment
We consider the problem of efficient credit assignment in reinforcement ...
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10/16/2019
Conditional Importance Sampling for Off-Policy Learning
The principal contribution of this paper is a conceptual framework for o...
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02/26/2019
The Termination Critic
In this work, we consider the problem of autonomously discovering behavi...
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11/10/2017
Learning with Options that Terminate Off-Policy
A temporally abstract action, or an option, is specified by a policy and...
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08/22/2017
Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets
Many real-world reinforcement learning problems have a hierarchical natu...
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06/08/2016
Safe and Efficient Off-Policy Reinforcement Learning
In this work, we take a fresh look at some old and new algorithms for of...
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02/16/2016
Q(λ) with Off-Policy Corrections
We propose and analyze an alternate approach to off-policy multi-step te...
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02/11/2015
Off-Policy Reward Shaping with Ensembles
Potential-based reward shaping (PBRS) is an effective and popular techni...
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05/21/2014