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
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A micro Lie theory for state estimation in robotics [pdf] - (14/12/2018)
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Global Pose Estimation with an Attention-based Recurrent Network [pdf] - (pending)
Neural Networks
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A Comprehensive Survey on Graph Neural Networks [pdf] - (pending)
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SPECTRAL INFERENCE NETWORKS:UNIFYING DEEP AND SPECTRAL LEARNING [pdf] - (pending)
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Why does deep and cheap learning work so well?∗ [pdf] - (pending)
Machine Learning
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DropMax: Adaptive Variational Softmax [pdf] - (pending)
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Efficient Classification for Additive Kernel SVMs [pdf] - (pending)
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Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly [pdf] - (pending)
Reinforcement Learning
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A Generalized Path Integral Control Approachto Reinforcement Learning [pdf] - (pending)
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Manifold Embeddings for Model-BasedReinforcement Learning under Partial Observability [pdf] - (pending)
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Model Based Reinforcement Learning for Atari [pdf] - (pending)
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Randomized Prior Functionsfor Deep Reinforcement Learning [pdf] - (pending)
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TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING [pdf] - (pending)
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Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? [pdf] [Talk] - (pending)
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DARLA: Improving Zero-Shot Transfer in Reinforcement Learning [pdf] - (pending)
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Concrete Problems in AI safety [pdf] - (pending) -(thesis)
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Reinforcement Learning with Attention that Works: A Self-Supervised Approach [pdf] - (pending)
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Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability [pdf] - (pending)
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Proximal Policy Optimization Algorithms [pdf] - (26/12/2018)
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Prioritized Experience Replay [pdf] - (pending)
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Memory-based control with recurrent neural networks [pdf] - (27/12/2018)
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Reinforcement learning with unsupervised auxiliary tasks [pdf] - (pending)
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Noisy Networks for Exploration [pdf] - (pending)
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Learning Continuous Control Policies by Stochastic Value Gradients [pdf] - (pending)
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On Learning Intrinsic Rewards for Policy Gradient Methods [pdf] - (20/12/2018)
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Potential-based shaping in model-based reinforcement learning. [pdf] - (pending)
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Theoretical Considerations Of Potential-Based Reward Shaping For Multi-Agent Systems [pdf] - (pending)
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Dynamic Potential-Based Reward Shaping [pdf] - (pending)
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Potential-Based Difference Rewards for Multiagent Reinforcement Learning [pdf] - (pending)
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Theory and Application of Reward Shaping in Reinforcement Learning [pdf] - (pending)
Reinforcement Learning Robotics
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A Reinforcement Learning Approach to the View Planning Problem [pdf] - (pending)
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PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings [pdf] [link]- (pending)
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Unsupervised Video Object Segmentation for DeepReinforcement Learning [pdf] - (pending)
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Learning Unmanned Aerial Vehicle Control for Autonomous Target Following [pdf] - (21/05/19)
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CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving [pdf] - (pending)
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Playing Doom with SLAM-Augmented Deep Reinforcement Learning [pdf] - (18/12/2018)
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Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning [pdf] - (22/01/19)
Robotic Vision
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Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations [pdf]
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Bounding Box Regression With Uncertainty for Accurate Object Detection [pdf]
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A General Pipeline for 3D Detection of Vehicles [pdf] - (pending)
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UnDeepVO : Monocular Visual Odometry through Unsupervised Deep Learning [pdf] - (pending)
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Unsupervised Adversarial Depth Estimation using Cycled Generative Networks [pdf]
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Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving [pdf] - (pending)
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Orthographic Feature Transform for Monocular 3D Object Detection [pdf] - (17/05/19)
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Multi-Level Fusion based 3D Object Detection from Monocular Images [pdf] - (pending)
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Digging Into Self-Supervised Monocular Depth Estimation [pdf] [code] - (18/05/19)
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Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images [pdf] [notes] - (11/02/19)
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Unsupervised Learning of Depth and Ego-Motion from Video [pdf] [slides] - (20/04/19)
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3D-RCNN: Instance-level 3D Object Reconstruction via Render-and-Compare [pdf] - (pending)
Autonomous Driving SLAM
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Monocular Plan View Networks for Autonomous Driving [pdf] - (pending)
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Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning [pdf] - (pending)
Autonomous Driving
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Model-free Deep Reinforcement Learning for Urban Autonomous Driving [pdf] - (pending)
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CARLA: An Open Urban Driving Simulator [pdf] - (08/01/2019)
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Autonomous Braking System via Deep Reinforcement Learning [pdf] - (18/12/2018)
Unsupervised Learning
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Mining on Manifolds: Metric Learning without Labels [pdf] - (24/03/19)
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Unsupervised Learning via Meta-Learning [pdf] - (pending)
Blogposts
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Introducing PlaNet: A Deep Planning Network for Reinforcement Learning [link]
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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
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OpenAI Spinning Up [link]
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Advanced Deep Learning & Reinforcement Learning [link]
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Applications of Reinforcement Learning (Medium) [link
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RL materials [link]
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Gaussian Processes & Kernel Methods (University of Cambridge) [link]