Summary of Hadamard Representations: Augmenting Hyperbolic Tangents in Rl, by Jacob E. Kooi et al.
Hadamard Representations: Augmenting Hyperbolic Tangents in RLby Jacob E. Kooi, Mark Hoogendoorn, Vincent François-LavetFirst submitted…
Summary of Diffpogan: Diffusion Policies with Generative Adversarial Networks For Offline Reinforcement Learning, by Xuemin Hu et al.
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learningby Xuemin Hu, Shen Li,…
Summary of Xland-100b: a Large-scale Multi-task Dataset For In-context Reinforcement Learning, by Alexander Nikulin and Ilya Zisman and Alexey Zemtsov and Vladislav Kurenkov
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learningby Alexander Nikulin, Ilya Zisman, Alexey Zemtsov,…
Summary of Dispelling the Mirage Of Progress in Offline Marl Through Standardised Baselines and Evaluation, by Claude Formanek et al.
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluationby Claude Formanek,…
Summary of Current Applications and Potential Future Directions Of Reinforcement Learning-based Digital Twins in Agriculture, by Georg Goldenits et al.
Current applications and potential future directions of reinforcement learning-based Digital Twins in agricultureby Georg Goldenits,…
Summary of Cimrl: Combining Imitation and Reinforcement Learning For Safe Autonomous Driving, by Jonathan Booher et al.
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Drivingby Jonathan Booher, Khashayar Rohanimanesh, Junhong…
Summary of Rrls : Robust Reinforcement Learning Suite, by Adil Zouitine et al.
RRLS : Robust Reinforcement Learning Suiteby Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel…
Summary of Rile: Reinforced Imitation Learning, by Mert Albaba et al.
RILe: Reinforced Imitation Learningby Mert Albaba, Sammy Christen, Thomas Langarek, Christoph Gebhardt, Otmar Hilliges, Michael…
Summary of Residual Learning and Context Encoding For Adaptive Offline-to-online Reinforcement Learning, by Mohammadreza Nakhaei et al.
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learningby Mohammadreza Nakhaei, Aidan Scannell, Joni…
Summary of Scaling Value Iteration Networks to 5000 Layers For Extreme Long-term Planning, by Yuhui Wang et al.
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planningby Yuhui Wang, Qingyuan Wu,…