Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

69 Results

<<   <   Page 1 of 6   >   >>
Workshop
Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew T Jackson · Chris Lu · Louis Kirsch · Robert Lange · Shimon Whiteson · Jakob Foerster
Workshop
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
Li Ding · Masrour Zoghi · Guy Tennenholtz · Maryam Karimzadehgan
Poster
Wed 15:00 Online Control for Meta-optimization
Xinyi Chen · Elad Hazan
Poster
Tue 8:45 Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
Shangtong Zhang · Remi Tachet des Combes · Romain Laroche
Poster
Thu 8:45 Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
Constantine Caramanis · Dimitris Fotakis · Alkis Kalavasis · Vasilis Kontonis · Christos Tzamos
Workshop
Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs
Zihan Zhou · Honghao Wei · Lei Ying
Workshop
Associative Memories with Heavy-Tailed Data
Vivien Cabannes · Elvis Dohmatob · Alberto Bietti
Oral
Thu 8:30 Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
Constantine Caramanis · Dimitris Fotakis · Alkis Kalavasis · Vasilis Kontonis · Christos Tzamos
Poster
Wed 15:00 Optimistic Meta-Gradients
Sebastian Flennerhag · Tom Zahavy · Brendan O'Donoghue · Hado van Hasselt · András György · Satinder Singh
Workshop
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data
Caroline Choi · Yoonho Lee · Annie Chen · Allan Zhou · Aditi Raghunathan · Chelsea Finn
Poster
Tue 8:45 Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
wonje choi · Woo Kyung Kim · SeungHyun Kim · Honguk Woo
Workshop
Continually Adapting Optimizers Improve Meta-Generalization
Wenyi Wang · Louis Kirsch · Francesco Faccio · Mingchen Zhuge · Jürgen Schmidhuber