Doina Precup
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| title | conference | date |
|---|---|---|
| On Rewards in Multi-Agent Systems | Multi-Agent Reinforcement Learning and Bandit Learning | 2022-04-29 |
Empirical claim: adding agent-to-agent rewards mitigates Tragedy of the Commons. Experiments run in the harvest domain with 10 agents, apples that only regrow… | ||
| An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay | Reinforcement Learning from Batch Data and Simulation | 2020-11-30 |
Claims that prioritized experience replay is equivalent in expectation to uniform sampling with a modified loss, derives the equivalence via importance… | ||
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