Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning
暂无分享,去创建一个
[1] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[2] Marlos C. Machado,et al. Generalization and Regularization in DQN , 2018, ArXiv.
[3] Sergey Levine,et al. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor , 2018, ICML.
[4] Yoshua Bengio,et al. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach , 2011, ICML.
[5] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[6] Elman Mansimov,et al. Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation , 2017, NIPS.
[7] Marc G. Bellemare,et al. The Arcade Learning Environment: An Evaluation Platform for General Agents , 2012, J. Artif. Intell. Res..
[8] Shane Legg,et al. DeepMind Lab , 2016, ArXiv.
[9] Shane Legg,et al. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures , 2018, ICML.
[10] Christopher Burgess,et al. DARLA: Improving Zero-Shot Transfer in Reinforcement Learning , 2017, ICML.
[11] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[12] Christopher Burgess,et al. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework , 2016, ICLR 2016.
[13] David Filliat,et al. State Representation Learning for Control: An Overview , 2018, Neural Networks.
[14] David Janz,et al. Learning to Drive in a Day , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[15] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[16] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[17] Julian Togelius,et al. Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning , 2019, IJCAI.
[18] Taehoon Kim,et al. Quantifying Generalization in Reinforcement Learning , 2018, ICML.
[19] Eduardo F. Morales,et al. An Introduction to Reinforcement Learning , 2011 .
[20] Wojciech Zaremba,et al. OpenAI Gym , 2016, ArXiv.
[21] Samy Bengio,et al. A Study on Overfitting in Deep Reinforcement Learning , 2018, ArXiv.
[22] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[23] Marlos C. Machado,et al. Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents , 2017, J. Artif. Intell. Res..