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02/02/2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
Many environments contain numerous available niches of variable value, e...
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09/22/2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
The Game Theory Multi-Agent team at DeepMind studies several aspects...
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07/14/2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Existing evaluation suites for multi-agent reinforcement learning (MARL)...
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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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01/28/2019
Lyapunov-based Safe Policy Optimization for Continuous Control
We study continuous action reinforcement learning problems in which it i...
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12/17/2018
Malthusian Reinforcement Learning
Here we explore a new algorithmic framework for multi-agent reinforcemen...
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05/20/2018