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04/18/2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments
One of the key challenges of Reinforcement Learning (RL) is the ability ...
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02/07/2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Cooperative multi-agent reinforcement learning (MARL) requires agents to...
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12/22/2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
This project leverages advances in multi-agent reinforcement learning (M...
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08/02/2022
Deep Reinforcement Learning for Multi-Agent Interaction
The development of autonomous agents which can interact with other agent...
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07/05/2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
Successful deployment of multi-agent reinforcement learning often requir...
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06/22/2022
Learning Representations for Control with Hierarchical Forward Models
Learning control from pixels is difficult for reinforcement learning (RL...
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11/29/2021
Robust On-Policy Data Collection for Data-Efficient Policy Evaluation
This paper considers how to complement offline reinforcement learning (R...
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10/11/2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning
Deep reinforcement learning (RL) agents that exist in high-dimensional s...
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07/19/2021
Decoupling Exploration and Exploitation in Reinforcement Learning
Intrinsic rewards are commonly applied to improve exploration in reinfor...
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06/14/2020
Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms
Multi-agent deep reinforcement learning (MARL) suffers from a lack of co...
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06/12/2020
