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Pieter Abbeel
Peter Bartlett
Ken Goldberg
Joseph Gonzalez
Alison Gopnik
Marti Hearst
Michael Jordan
Kurt Keutzer
Sergey Levine
Jitendra Malik
Ren Ng
Stuart Russell
Dawn Song
Ion Stoica
Vladimir Stojanovic
Masayoshi Tomizuka
David Wagner
Stella Yu
Avideh Zakhor
Results
Adversarial Attacks Against Deep Reinforcement Learning Policies for Strategy Games
Agnostic Reinforcement Learning
Automatic Curriculum Generation and Emergent Complexity via Inter-agent Competition
Autonomous Skill Discovery Through Self-Supervised Exploration
Barcode Image Denoise - RL Approach
Better Visual Representations through Language Supervision
Combining Causal Reasoning and Information Theory to Empower Humans through Human-Agent Collaboration
Differentiable Optimization for Game Theoretic Formulations
Disentangling Input Signals for Robust Computer Vision
Distributed Probabilistic Inference on Ray
Echo State Transformers
Efficient Object Detection with Super High-Resolution Image
Enabling Broader Learning Through Simplified and Personalized Summaries
Generalization Bounds for Interpolating Deep Neural Networks
Generalizing Neural Radiance Fields
Graph Data Augmentation for Computer Systems
Knowledge Transferable Bayesian Optimization
Learning Non-Intuitive Physics in Children and Adults
Learning Robust Robot Policies to Manipulate and Fill Deformable Bags
Long-Horizon Decision-Making with Energy-Based Models
LP-based Algorithms for Reinforcement Learning
Mitigating Emergent Biases in Online Learning
Multi-task Learning with Safe and Differentiable Policies
Neural Program Synthesis from Diverse and Distant Context
On Theoretical Foundations for Transfer Learning
Semantic Depth Extraction for Indoor Scenes
Smart Practice: Learning to Practice Skills from Demonstrations
Towards Trustworthy Reinforcement Learning
Unsupervised Learning of Visual Context from Instance Segmentation
Visual Locomotion: Synergistic Approach via Perception and Proprioception