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12/14/2022
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving
Multi-object state estimation is a fundamental problem for robotic appli...
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05/06/2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation
Simulation is a crucial tool for accelerating the development of autonom...
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07/17/2021
Implicit Communication as Minimum Entropy Coupling
In many common-payoff games, achieving good performance requires players...
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03/01/2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing
Recent research has shown that Graph Neural Networks (GNNs) can learn po...
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10/05/2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
Multitask Reinforcement Learning is a promising way to obtain models wit...
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10/02/2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
Meta-learning is a powerful tool for learning policies that can adapt ef...
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06/10/2020
The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning
Non-stationarity arises in Reinforcement Learning (RL) even in stationar...
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10/28/2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
The ability for policies to generalize to new environments is key to the...
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10/18/2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
Trading off exploration and exploitation in an unknown environment is ke...
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04/01/2019
Multitask Soft Option Learning
We present Multitask Soft Option Learning (MSOL), a hierarchical multita...
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06/06/2018
Deep Variational Reinforcement Learning for POMDPs
Many real-world sequential decision making problems are partially observ...
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02/13/2018
Tighter Variational Bounds are Not Necessarily Better
We provide theoretical and empirical evidence that using tighter evidenc...
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10/31/2017
TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning
Combining deep model-free reinforcement learning with on-line planning i...
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05/29/2017