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Workshop
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Deep Reinforcement Learning Policies Learn Shared Adversarial Directions Across MDPs
Ezgi Korkmaz
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Workshop
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Fri 13:30
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Fine-tuning hierarchical circuits through learned stochastic co-modulation
Caroline Haimerl · Eero Simoncelli · Cristina Savin
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Workshop
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FedTH : Tree-based Hierarchical Image Classification in Federated Learning
Jaeheon Kim · Bong Jun Choi
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Workshop
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Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data
Sunil Madhow · Dan Qiao · Yu-Xiang Wang
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Workshop
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Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Zhendong Wang · jonathan j hunt · Mingyuan Zhou
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Poster
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Tue 14:00
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Temporally-Consistent Survival Analysis
Lucas Maystre · Daniel Russo
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Poster
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Tue 14:00
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Truly Deterministic Policy Optimization
Ehsan Saleh · Saba Ghaffari · Tim Bretl · Matthew West
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Workshop
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Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
Min Zhang · Hongyao Tang · Jianye Hao · YAN ZHENG
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Workshop
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Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics
Keyvan Majd · GEOFFEY CLARK · Tanmay Khandait · · Sriram Sankaranarayanan · Georgios Fainekos · Heni Ben Amor
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Workshop
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AsymQ: Asymmetric Q-loss to mitigate overestimation bias in off-policy reinforcement learning
Qinsheng Zhang · Arjun Krishna · Sehoon Ha · Yongxin Chen
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Workshop
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Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
Jiachen Li · Shuo Cheng · Zhenyu Liao · Huayan Wang · William Yang Wang · Qinxun Bai
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Poster
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Wed 14:00
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ALMA: Hierarchical Learning for Composite Multi-Agent Tasks
Shariq Iqbal · Robby Costales · Fei Sha
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