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Explaining Reinforcement Learning Policies through Counterfactual Trajectories


Jan 29, 2022
Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan Plummer, Kate Saenko

* Accepted at ICML HILL 2021 Workshop 

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Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents


Jan 18, 2022
Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch

* Project website at https://huangwl18.github.io/language-planner 

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Target Entropy Annealing for Discrete Soft Actor-Critic


Dec 06, 2021
Yaosheng Xu, Dailin Hu, Litian Liang, Stephen McAleer, Pieter Abbeel, Roy Fox

* neurips 2021 deep rl workshop 

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Zero-Shot Text-Guided Object Generation with Dream Fields


Dec 02, 2021
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole

* 12 pages. Website: https://ajayj.com/dreamfields 

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Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL


Dec 02, 2021
Charles Packer, Pieter Abbeel, Joseph E. Gonzalez


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Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning


Nov 28, 2021
Dailin Hu, Pieter Abbeel, Roy Fox


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Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning


Nov 04, 2021
Wenlong Huang, Igor Mordatch, Pieter Abbeel, Deepak Pathak

* Website at https://huangwl18.github.io/geometry-dex 

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B-Pref: Benchmarking Preference-Based Reinforcement Learning


Nov 04, 2021
Kimin Lee, Laura Smith, Anca Dragan, Pieter Abbeel

* NeurIPS Datasets and Benchmarks Track 2021. Code is available at https://github.com/rll-research/B-Pref 

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Mastering Atari Games with Limited Data


Oct 30, 2021
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao

* Published at NeurIPS 2021 

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URLB: Unsupervised Reinforcement Learning Benchmark


Oct 28, 2021
Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel

* Code for the Unsupervised Reinforcement Learning Benchmark is available at https://github.com/rll-research/url_benchmark 

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