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10/25/2022
In-context Reinforcement Learning with Algorithm Distillation
We propose Algorithm Distillation (AD), a method for distilling reinforc...
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10/08/2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
Strategic diversity is often essential in games: in multi-player games, ...
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02/12/2021
Discovery of Options via Meta-Learned Subgoals
Temporal abstractions in the form of options have been shown to help rei...
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10/13/2020
Balancing Constraints and Rewards with Meta-Gradient D4PG
Deploying Reinforcement Learning (RL) agents to solve real-world applica...
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07/17/2020
Discovering Reinforcement Learning Algorithms
Reinforcement learning (RL) algorithms update an agent's parameters acco...
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07/16/2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Deep reinforcement learning includes a broad family of algorithms that p...
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12/11/2019
What Can Learned Intrinsic Rewards Capture?
Reinforcement learning agents can include different components, such as ...
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09/10/2019
Discovery of Useful Questions as Auxiliary Tasks
Arguably, intelligent agents ought to be able to discover their own ques...
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12/03/2018
Generative Adversarial Self-Imitation Learning
This paper explores a simple regularizer for reinforcement learning by p...
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11/05/2018
Contingency-Aware Exploration in Reinforcement Learning
This paper investigates whether learning contingency-awareness and contr...
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07/19/2018
Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
We introduce a new RL problem where the agent is required to execute a g...
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06/22/2018
Many-Goals Reinforcement Learning
All-goals updating exploits the off-policy nature of Q-learning to updat...
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06/14/2018
Self-Imitation Learning
This paper proposes Self-Imitation Learning (SIL), a simple off-policy a...
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04/17/2018
On Learning Intrinsic Rewards for Policy Gradient Methods
In many sequential decision making tasks, it is challenging to design re...
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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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07/11/2017
Value Prediction Network
This paper proposes a novel deep reinforcement learning (RL) architectur...
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06/15/2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
As a step towards developing zero-shot task generalization capabilities ...
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05/30/2016
Control of Memory, Active Perception, and Action in Minecraft
In this paper, we introduce a new set of reinforcement learning (RL) tas...
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12/24/2015
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
We propose a novel weakly-supervised semantic segmentation algorithm bas...
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07/31/2015