ICML 2022 Workshop DARL Submissions

Effective Offline RL Needs Going Beyond Pessimism: Representations and Distributional Shift
Xinyang Geng, Kevin Li, Abhishek Gupta, Aviral Kumar, Sergey Levine
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Hyperbolically Discounted Advantage Estimation for Generalization in Reinforcement Learning
Nasik Muhammad Nafi, Raja Farrukh Ali, William Hsu
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Goal-Conditioned Generators of Deep Policies
Francesco Faccio, Vincent Herrmann, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
- 28 May 2022 (modified: 22 Oct 2023)
- DARL 2022
- Readers: Everyone
CoMBiNED: Multi-Constrained Model Based Planning for Navigation in Dynamic Environments
Harit Pandya, Rudra Poudel, Stephan Liwicki
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
A Regret Bound for Greedy Partially Observed Stochastic Contextual Bandits
Hongju Park, Mohamad Kazem Shirani Faradonbeh
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Exploration in Reward Machines with Low Regret
Hippolyte Bourel, Anders Jonsson, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Exploring Long-Horizon Reasoning with Deep RL in Combinatorially Hard Tasks
Andrew C Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
VIPer: Iterative Value-Aware Model Learning on the Value Improvement Path
Romina Abachi, Claas A Voelcker, Animesh Garg, Amir-massoud Farahmand
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Model-Based Meta Automatic Curriculum Learning
Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Adaptive Interest for Emphatic Reinforcement Learning
Martin Klissarov, Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Taesup Kim, Alex Smola
- Published: 14 Jun 2022, Last Modified: 05 May 2023
- DARL 2022 Spotlight
- Readers: Everyone
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States
Francesco Faccio, Aditya Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
An Investigation into the Open World Survival Game Crafter
Aleksandar Stanić, Yujin Tang, David Ha, Jürgen Schmidhuber
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Unsupervised Model-based Pre-training for Data-efficient Reinforcement Learning from Pixels
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron Courville, Alexandre Lacoste
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Model-Based Reinforcement Learning with SINDy
Rushiv Arora, Eliot Moss, Bruno Castro da Silva
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents
Rousslan Fernand Julien Dossa, Takashi Matsubara
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
MoCoDA: Model-based Counterfactual Data Augmentation
Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg
- 28 May 2022 (modified: 22 Oct 2023)
- DARL 2022
- Readers: Everyone
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
Woojun Kim, Youngchul Sung
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Leader-based Decision Learning for Cooperative Multi-Agent Reinforcement Learning
Wenqi Chen, Xin Zeng, Amber Li
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Non-Markovian Policies for Unsupervised Reinforcement Learning in Multiple Environments
Pietro Maldini, Mirco Mutti, Riccardo De Santi, Marcello Restelli
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
- 28 May 2022 (modified: 22 Oct 2023)
- DARL 2022
- Readers: Everyone
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
Quan Vuong, Aviral Kumar, Sergey Levine, Yevgen Chebotar
- 28 May 2022 (modified: 20 Sept 2023)
- DARL 2022
- Readers: Everyone
Representation Gap in Deep Reinforcement Learning
Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou
- 28 May 2022 (modified: 22 Oct 2023)
- DARL 2022
- Readers: Everyone
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A Osborne, Yee Whye Teh
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone
Giving Feedback on Interactive Student Programs with Meta-Exploration
Evan Zheran Liu, Moritz Pascal Stephan, Allen Nie, Christopher J Piech, Emma Brunskill, Chelsea Finn
- 28 May 2022 (modified: 22 Oct 2023)
- DARL 2022
- Readers: Everyone
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn
- 28 May 2022 (modified: 05 May 2023)
- DARL 2022
- Readers: Everyone