paper_trove

• State Estimation
• Neural Networks
• Machine Learning
• Reinforcement Learning
• Reinforcement Learning Robotics
• Robotic Vision
• Autonomous Driving
• Autonomous Driving SLAM
• Unsupervised Learning
• Tutorials and Workshops
• Relevant Competitions
• Dataset/Platforms/Simulators
• References

State Estimation

• A micro Lie theory for state estimation in robotics [pdf] - (14/12/2018)

• Global Pose Estimation with an Attention-based Recurrent Network [pdf] - (pending)

Neural Networks

• A Comprehensive Survey on Graph Neural Networks [pdf] - (pending)

• SPECTRAL INFERENCE NETWORKS:UNIFYING DEEP AND SPECTRAL LEARNING [pdf] - (pending)

• Why does deep and cheap learning work so well?∗ [pdf] - (pending)

Machine Learning

• DropMax: Adaptive Variational Softmax [pdf] - (pending)

• Efficient Classification for Additive Kernel SVMs [pdf] - (pending)

• Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly [pdf] - (pending)

Reinforcement Learning

• A Generalized Path Integral Control Approachto Reinforcement Learning [pdf] - (pending)

• Manifold Embeddings for Model-BasedReinforcement Learning under Partial Observability [pdf] - (pending)

• Model Based Reinforcement Learning for Atari [pdf] - (pending)

• Randomized Prior Functionsfor Deep Reinforcement Learning [pdf] - (pending)

• TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING [pdf] - (pending)

• Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? [pdf] [Talk] - (pending)

• DARLA: Improving Zero-Shot Transfer in Reinforcement Learning [pdf] - (pending)

• Concrete Problems in AI safety [pdf] - (pending) -(thesis)

• Reinforcement Learning with Attention that Works: A Self-Supervised Approach [pdf] - (pending)

• Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability [pdf] - (pending)

• Proximal Policy Optimization Algorithms [pdf] - (26/12/2018)

• Prioritized Experience Replay [pdf] - (pending)

• Memory-based control with recurrent neural networks [pdf] - (27/12/2018)

• Reinforcement learning with unsupervised auxiliary tasks [pdf] - (pending)

• Noisy Networks for Exploration [pdf] - (pending)

• Learning Continuous Control Policies by Stochastic Value Gradients [pdf] - (pending)

• On Learning Intrinsic Rewards for Policy Gradient Methods [pdf] - (20/12/2018)

• Potential-based shaping in model-based reinforcement learning. [pdf] - (pending)

• Theoretical Considerations Of Potential-Based Reward Shaping For Multi-Agent Systems [pdf] - (pending)

• Dynamic Potential-Based Reward Shaping [pdf] - (pending)

• Potential-Based Difference Rewards for Multiagent Reinforcement Learning [pdf] - (pending)

• Theory and Application of Reward Shaping in Reinforcement Learning [pdf] - (pending)

Reinforcement Learning Robotics

• A Reinforcement Learning Approach to the View Planning Problem [pdf] - (pending)

• PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings [pdf] [link]- (pending)

• Unsupervised Video Object Segmentation for DeepReinforcement Learning [pdf] - (pending)

• Learning Unmanned Aerial Vehicle Control for Autonomous Target Following [pdf] - (21/05/19)

• CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving [pdf] - (pending)

• Playing Doom with SLAM-Augmented Deep Reinforcement Learning [pdf] - (18/12/2018)

• Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning [pdf] - (22/01/19)

Robotic Vision

• Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations [pdf]

• Bounding Box Regression With Uncertainty for Accurate Object Detection [pdf]

• A General Pipeline for 3D Detection of Vehicles [pdf] - (pending)

• UnDeepVO : Monocular Visual Odometry through Unsupervised Deep Learning [pdf] - (pending)

• Unsupervised Adversarial Depth Estimation using Cycled Generative Networks [pdf]

• Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving [pdf] - (pending)

• Orthographic Feature Transform for Monocular 3D Object Detection [pdf] - (17/05/19)

• Multi-Level Fusion based 3D Object Detection from Monocular Images [pdf] - (pending)

• Digging Into Self-Supervised Monocular Depth Estimation [pdf] [code] - (18/05/19)

• Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images [pdf] [notes] - (11/02/19)

• Unsupervised Learning of Depth and Ego-Motion from Video [pdf] [slides] - (20/04/19)

• 3D-RCNN: Instance-level 3D Object Reconstruction via Render-and-Compare [pdf] - (pending)

Autonomous Driving SLAM

• Monocular Plan View Networks for Autonomous Driving [pdf] - (pending)

• Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning [pdf] - (pending)

Autonomous Driving

• Model-free Deep Reinforcement Learning for Urban Autonomous Driving [pdf] - (pending)

• CARLA: An Open Urban Driving Simulator [pdf] - (08/01/2019)

• Autonomous Braking System via Deep Reinforcement Learning [pdf] - (18/12/2018)

Unsupervised Learning

• Mining on Manifolds: Metric Learning without Labels [pdf] - (24/03/19)

• Unsupervised Learning via Meta-Learning [pdf] - (pending)

Blogposts

• Introducing PlaNet: A Deep Planning Network for Reinforcement Learning [link]

• Stacked Capsule Autoencoders [link]

Tutorials and Workshops

• Learning Representation & Behavior: Manifold and Spectral Methods for Markov Decision Processes and Reinforcement Learning [pdf] [full_theory] - **(pending)

Relevant Competitions

• MineRL [link]

Datasets and Platforms

• Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence [pdf] - (pending)

References

• OpenAI Spinning Up [link]

• Advanced Deep Learning & Reinforcement Learning [link]

• Applications of Reinforcement Learning (Medium) [link

• RL materials [link]

• Gaussian Processes & Kernel Methods (University of Cambridge) [link]

Internship and PhD prospects (Project Based)

• TUM Neurorobotics [link]

• TUM Neurorobotics- Reinforcement Learning — A comparison Study with Spike and Rate Based Neurons [pdf]

• TUM Neurorobotics- Deep Spiking Q-Networks [pdf]