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Jonas Nüßlein

2 accepted papers

2023

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability

ICML 2023poster

Stochastic partial observability poses a major challenge for decentralized coordination in multi-agent reinforcement learning but is largely neglected in state-of-the-art research due to a strong focus on state-based centralized training for decentralized execution (CTDE) and benchmarks that lack su…

2023

CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing

IJCAI 2023poster

The safe application of reinforcement learning (RL) requires generalization from limited training data to unseen scenarios. Yet, fulfilling tasks under changing circumstances is a key challenge in RL. Current state-of-the-art approaches for generalization apply data augmentation techniques to increa…