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In Goal-oriented Reinforcement learning, relabeling the raw goals in past experience to provide agents with hindsight ability is a major solution to the reward sparsity problem.
Dyna, an integrated architecture for learning, planning, and reacting
Richard S Sutton · 1991
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Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
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Model predictive control
Eduardo F Camacho and Carlos Bordons Alba · 2013
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Continuous control with deep reinforcement learning
Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2015
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Universal value function approximators
Tom Schaul, Daniel Horgan, Karol Gregor, and David Silver · 2015
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Hindsight experience replay
Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, OpenAI Pieter Abbeel, and Wojciech Zaremba · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Sample-efficient reinforcement learning with stochastic ensemble value expansion
Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, and Honglak Lee · 2018
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Deep reinforcement learning in a handful of trials using probabilistic dynamics models
Kurtland Chua, Roberto Calandra, Rowan McAllister, and Sergey Levine · 2018
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Dher: Hindsight experience replay for dynamic goals
Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, and Tong Zhang · 2018
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Model-based value estimation for efficient model-free reinforcement learning
Vladimir Feinberg, Alvin Wan, Ion Stoica, Michael I Jordan, Joseph E Gonzalez, and Sergey Levine · 2018
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Automatic goal generation for reinforcement learning agents
Carlos Florensa, David Held, Xinyang Geng, and Pieter Abbeel · 2018
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Algorithmic framework for model-based deep reinforcement learning with theoretical guarantees
Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, and Tengyu Ma · 2018
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Visual reinforcement learning with imagined goals
Ashvin V Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, and Sergey Levine · 2018
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Exploration via hindsight goal generation
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, and Jian Peng · 2019
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Keeping your distance: Solving sparse reward tasks using self-balancing shaped rewards
Alexander Trott, Stephan Zheng, Caiming Xiong, and Richard Socher · 2019
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Exploring model-based planning with policy networks
Tingwu Wang and Jimmy Ba · 2019
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Regularizing model-based planning with energy-based models
Rinu Boney, Juho Kannala, and Alexander Ilin · 2020
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Plangan: Model-based planning with sparse rewards and multiple goals
Henry Charlesworth and Giovanni Montana · 2020
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Maximum entropy gain exploration for long horizon multi-goal reinforcement learning
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Counterfactual data augmentation using locally factored dynamics
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