Scott Fujimoto

Scalable Option Learning in High-Throughput Environments

Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents

Towards General-Purpose Model-Free Reinforcement Learning

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank

Long-Term Fairness in Reinforcement Learning with Bisimulation Metrics