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Hussing, M., Voelcker, C. A., Gilitschenski, I., Farahmand, A.-M., & Eaton, E. (août 2024). Dissecting Deep RL with high update ratios : combatting value divergence [Communication écrite]. Reinforcement Learning Conference (RLC 2024), Amherst, Massachusetts, USA (24 pages). Lien externe
Voelcker, C. A., Kastner, T., Gilitschenski, I., & Farahmand, A.-M. (août 2024). When does self-prediction help? Understanding auxiliary tasks in reinforcement learning [Communication écrite]. Reinforcement Learning Conference (RLC 2024), Amherst, Massachusetts, USA (31 pages). Lien externe
