Title
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 75 42 0 29 Nov 2020
A survey of benchmarking frameworks for reinforcement learning B. Stapelberg K. Malan OffRL 44 3 0 27 Nov 2020
Episodic Self-Imitation Learning with Hindsight Tianhong Dai Hengyan Liu Anil Anthony Bharath 30 11 0 26 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design Bernardo Cortez 18 2 0 26 Nov 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 83 74 0 25 Nov 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation Panteha Naderian Gabriel Loaiza-Ganem H. Braviner Anthony L. Caterini Jesse C. Cresswell Tong Li Animesh Garg 80 1 0 24 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers Guangming Wang Minjian Xin Wenhua Wu Yanfeng Guo Hesheng Wang OffRL 42 19 0 24 Nov 2020
Counterfactual Credit Assignment in Model-Free Reinforcement Learning Thomas Mesnard T. Weber Fabio Viola S. Thakoor Alaa Saade ... A. Guez Éric Moulines Marcus Hutter Lars Buesing Rémi Munos CML OffRL 108 58 0 18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 85 71 0 17 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay Boyao Li Tao Lu Jiayi Li N. Lu Yinghao Cai Shuo Wang 60 16 0 16 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 75 8 0 16 Nov 2020
Robotic self-representation improves manipulation skills and transfer learning Phuong D. H. Nguyen Manfred Eppe S. Wermter SSL 34 1 0 13 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 78 14 0 13 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation B. Chen Alexander Sax Gene Lewis Iro Armeni Silvio Savarese Amir Zamir Jitendra Malik Lerrel Pinto 75 44 0 13 Nov 2020
Hierarchical reinforcement learning for efficient exploration and transfer Lorenzo Steccanella Simone Totaro Damien Allonsius Anders Jonsson BDL 62 8 0 12 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning Jun Jin D. Graves Cameron Haigh Jun Luo Martin Jägersand SSL OffRL 58 6 0 11 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 64 15 0 11 Nov 2020
Reinforcement Learning with Time-dependent Goals for Robotic Musicians Thilo Fryen Manfred Eppe Phuong D. H. Nguyen Timo Gerkmann S. Wermter 31 4 0 11 Nov 2020
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes Herman Yau Chris Russell Simon Hadfield FAtt LRM 58 38 0 10 Nov 2020
Deep Reinforcement Learning for Navigation in AAA Video Games Eloi Alonso Maxim Peter David Goumard Joshua Romoff 59 37 0 09 Nov 2020
Adversarial Skill Learning for Robust Manipulation Pingcheng Jian Chao Yang Di Guo Huaping Liu F. Sun AAML 63 7 0 06 Nov 2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis Jonas Tebbe Lukas Krauch Yapeng Gao A. Zell 76 34 0 06 Nov 2020
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together Shanqi Liu Licheng Wen Jinhao Cui Xuemeng Yang Junjie Cao Yong Liu 46 9 0 04 Nov 2020
Representation Matters: Improving Perception and Exploration for Robotics Markus Wulfmeier Arunkumar Byravan Tim Hertweck I. Higgins Ankush Gupta ... Malcolm Reynolds Denis Teplyashin Roland Hafner Thomas Lampe Martin Riedmiller 96 16 0 03 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 79 35 0 27 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning Annie S. Chen H. Nam Suraj Nair Chelsea Finn OffRL 90 25 0 22 Oct 2020
Proximal Policy Gradient: PPO with Policy Gradient Ju-Seung Byun Byungmoon Kim Huamin Wang OffRL 44 8 0 20 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator Hongyao Tang Zhaopeng Meng Jianye Hao Chong Chen D. Graves ... Hangyu Mao Wulong Liu Yaodong Yang Wenyuan Tao Li Wang OffRL 82 7 0 19 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 122 56 0 19 Oct 2020
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning Chenjia Bai Peng Liu Kaiyu Liu Zhaoran Wang Yingnan Zhao Lingxiao Wang SSL 62 18 0 17 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 97 8 0 15 Oct 2020
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards Zhixin Chen Mengxiang Lin 58 6 0 14 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 92 38 0 13 Oct 2020
Hindsight Experience Replay with Kronecker Product Approximate Curvature M. DhuruvaPriyanG Abhik Singla S. Bhatnagar BDL 23 1 0 09 Oct 2020
Prioritized Level Replay Minqi Jiang Edward Grefenstette Tim Rocktaschel OffRL 128 160 0 08 Oct 2020
Proximal Policy Optimization with Relative Pearson Divergence Taisuke Kobayashi 36 17 0 07 Oct 2020
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience Robert Lee Daniel Ward Akansel Cosgun Vibhavari Dasagi Peter Corke Jurgen Leitner SSL 117 66 0 07 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 148 222 0 06 Oct 2020
Sentiment Analysis for Reinforcement Learning Ameet Deshpande Eve Fleisig 33 0 0 05 Oct 2020
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020) Andreas H. Christ Franz Quint AI4CE 55 0 0 05 Oct 2020
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games Shengyi Huang Santiago Ontañón 63 10 0 05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 79 9 0 03 Oct 2020
Correcting Experience Replay for Multi-Agent Communication S. Ahilan Peter Dayan 56 10 0 02 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems Fei Mi Liangwei Chen Mengjie Zhao Minlie Huang Boi Faltings CLL KELM 65 71 0 02 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds Lirui Wang Yu Xiang Wei Yang Arsalan Mousavian Dieter Fox 3DPC 98 47 0 02 Oct 2020
Evaluating a Generative Adversarial Framework for Information Retrieval Ameet Deshpande Mitesh M. Khapra 34 0 0 01 Oct 2020
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy Yunshu Du Garrett A. Warnell A. Gebremedhin Peter Stone Matthew E. Taylor 58 11 0 29 Sep 2020
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models Lei M. Zhang Matthias Plappert Wojciech Zaremba 60 4 0 27 Sep 2020
Is Q-Learning Provably Efficient? An Extended Analysis Kushagra Rastogi Jonathan Lee Fabrice Harel-Canada Aditya Sunil Joglekar OffRL 26 1 0 22 Sep 2020
Learning Task-Agnostic Action Spaces for Movement Optimization Amin Babadi M. van de Panne Caren Liu Perttu Hämäläinen 51 2 0 22 Sep 2020