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Reinforcement learning (RL) has proven highly effective in addressing complex decision-making and control tasks.
Actor-critic algorithms
Vijay Konda and John Tsitsiklis · 1999
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On entropy approximation for gaussian mixture random vectors
Marco F Huber, Tim Bailey, Hugh Durrant-Whyte, and Uwe D Hanebeck · 2008
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Mujoco: A physics engine for model-based control
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Deterministic policy gradient algorithms
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, and Martin Riedmiller · 2014
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Trust region policy optimization
John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan, and Philipp Moritz · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
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Deep reinforcement learning with double q-learning
Hado Van Hasselt, Arthur Guez, and David Silver · 2016
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Addressing function approximation error in actor-critic methods
Scott Fujimoto, Herke Hoof, and David Meger · 2018
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Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Exploring the limitations of behavior cloning for autonomous driving
Felipe Codevilla, Eder Santana, Antonio M López, and Adrien Gaidon · 2019
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Off-policy deep reinforcement learning without exploration
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Abdoulaye O Ly and Moulay Akhloufi · 2020
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Dsac-t: Distributional soft actor-critic with three refinements
Jingliang Duan, Wenxuan Wang, Liming Xiao, Jiaxin Gao, and Shengbo Eben Li · 2023
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Efficient diffusion policies for offline reinforcement learning
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, and Shuicheng Yan · 2023
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Score-based generative modeling through stochastic differential equations
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Offline rl without off-policy evaluation
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Diffusion models beat gans on image synthesis
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Distributional soft actor-critic: Off-policy reinforcement learning for addressing value estimation errors
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End-to-end autonomous driving through dueling double deep q-network
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Scalable diffusion models with transformers
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Learning a diffusion model policy from rewards via q-score matching
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Gops: A general optimal control problem solver for autonomous driving and industrial control applications
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Diffusion policies as an expressive policy class for offline reinforcement learning
Zhendong Wang, Jonathan J Hunt, and Mingyuan Zhou · 2023
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Policy representation via diffusion probability model for reinforcement learning
Long Yang, Zhixiong Huang, Fenghao Lei, Yucun Zhong, Yiming Yang, Cong Fang, Shiting Wen, Binbin Zhou, and Zhouchen Lin · 2023
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Diffusion probabilistic modeling for video generation
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Efficient diffusion policies for offline reinforcement learning
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, and Shuicheng Yan · 2024
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Deconstructing denoising diffusion models for self-supervised learning
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