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08/21/2023
Stabilizing Unsupervised Environment Design with a Learned Adversary
A key challenge in training generally-capable agents is the design of tr...
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06/16/2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
Society is characterized by the presence of a variety of social norms: c...
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03/02/2021
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games
Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...
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12/03/2020
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
A wide range of reinforcement learning (RL) problems - including robustn...
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10/30/2020
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL
We study the ability of autonomous vehicles to improve the throughput of...
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08/04/2020
Robust Reinforcement Learning using Adversarial Populations
Reinforcement Learning (RL) is an effective tool for controller design b...
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12/27/2018
On the Approximability of Time Disjoint Walks
We introduce the combinatorial optimization problem Time Disjoint Walks....
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12/14/2018
Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles
Using deep reinforcement learning, we train control policies for autonom...
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10/16/2017
