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02/06/2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Recent works successfully leveraged Large Language Models' (LLM) abiliti...
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11/09/2022
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration
Deep Reinforcement Learning has been successfully applied to learn robot...
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09/26/2022
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning
Teaching an agent to perform new tasks using natural language can easily...
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08/16/2022
Making Reinforcement Learning Work on Swimmer
The SWIMMER environment is a standard benchmark in reinforcement learnin...
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06/20/2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Reinforcement learning (RL) in long horizon and sparse reward tasks is n...
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06/14/2022
Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems
Multi-goal Reinforcement Learning has recently attracted a large amount ...
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06/09/2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
Learning from demonstration methods usually leverage close to optimal de...
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04/15/2022
Divide Conquer Imitation Learning
When cast into the Deep Reinforcement Learning framework, many robotics ...
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04/11/2022
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks
Although humans live in an open-ended world and endlessly face new chall...
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03/26/2022
Combining Evolution and Deep Reinforcement Learning for Policy Search: a Survey
Deep neuroevolution and deep Reinforcement Learning have received a lot ...
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02/28/2022
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions
When demonstrating a task, human tutors pedagogically modify their behav...
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02/10/2022
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents
In the quest for autonomous agents learning open-ended repertoires of sk...
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05/25/2021
Towards Teachable Autonomous Agents
Autonomous discovery and direct instruction are two extreme sources of l...
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04/10/2021
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms
Reinforcement learning agents need a reward signal to learn successful p...
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12/17/2020
Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Building autonomous machines that can explore open-ended environments, d...
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11/29/2020
Offline Reinforcement Learning Hands-On
Offline Reinforcement Learning (RL) aims to turn large datasets into pow...
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07/27/2020
Learning Compositional Neural Programs for Continuous Control
We propose a novel solution to challenging sparse-reward, continuous con...
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06/15/2020
QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning
We propose a novel reinforcement learning algorithm,QD-RL, that incorpor...
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06/12/2020
DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents
Intrinsically motivated agents freely explore their environment and set ...
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06/12/2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL
In the real world, linguistic agents are also embodied agents: they perc...
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05/13/2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Robots are still limited to controlled conditions, that the robot design...
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04/24/2020
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning
The exploration-exploitation trade-off is at the heart of reinforcement ...
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02/11/2020
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
Weight-sharing (WS) has recently emerged as a paradigm to accelerate the...
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11/26/2019
The problem with DDPG: understanding failures in deterministic environments with sparse rewards
In environments with continuous state and action spaces, state-of-the-ar...
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05/30/2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning
We propose a novel reinforcement learning algorithm, AlphaNPI, that inco...
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04/15/2019
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
Consistently checking the statistical significance of experimental resul...
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02/05/2019
Interactively shaping robot behaviour with unlabeled human instructions
In this paper, we propose a framework that enables a human teacher to sh...
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01/28/2019
CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments
In this paper, we propose an unsupervised reinforcement learning agent c...
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10/18/2018
First-order and second-order variants of the gradient descent: a unified framework
In this paper, we provide an overview of first-order and second-order va...
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10/15/2018
CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning
In open-ended and changing environments, agents face a wide range of pot...
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10/11/2018
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects
Perceiving the surrounding environment in terms of objects is useful for...
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10/02/2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Deep neuroevolution and deep reinforcement learning (deep RL) algorithms...
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08/17/2018
Importance mixing: Improving sample reuse in evolutionary policy search methods
Deep neuroevolution, that is evolutionary policy search methods based on...
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06/25/2018
Accuracy-based Curriculum Learning in Deep Reinforcement Learning
In this paper, we investigate a new form of automated curriculum learnin...
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06/21/2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments
Consistently checking the statistical significance of experimental resul...
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03/13/2018
Policy Search in Continuous Action Domains: an Overview
Continuous action policy search, the search for efficient policies in co...
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03/02/2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Intrinsically motivated goal exploration algorithms enable machines to d...
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02/14/2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
In continuous action domains, standard deep reinforcement learning algor...
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06/27/2012
