For SALE: State-Action Representation Learning for Deep Reinforcement Learning

4 June 2023

Papers citing "For SALE: State-Action Representation Learning for Deep Reinforcement Learning"

29 / 29 papers shown

Title
Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning Yingzhuo Jiang Wenjun Huang Rongdun Lin Chenyang Miao Tianfu Sun Yunduan Cui 39 0 0 30 Apr 2025
Action Tokenizer Matters in In-Context Imitation Learning An Vuong M. Vu Dong An Ian Reid 56 0 0 03 Mar 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto P. DÓro Amy Zhang Yuandong Tian Michael Rabbat OffRL 34 3 0 28 Jan 2025
SR-Reward: Taking The Path More Traveled Seyed Mahdi Basiri Azad Zahra Padar Gabriel Kalweit Joschka Boedecker OffRL 67 0 0 04 Jan 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 39 1 0 11 Nov 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee Dongyoon Hwang Donghu Kim Hyunseung Kim Jun Jet Tai K. Subramanian Peter R. Wurman Jaegul Choo Peter Stone Takuma Seno OffRL 62 6 0 13 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 39 1 0 11 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Aaron C. Courville L. Pan 31 3 0 10 Oct 2024
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces Perusha Moodley Pramod S. Kaushik Dhillu Thambi Mark Trovinger Praveen Paruchuri Xia Hong Benjamin Rosman 42 0 0 01 Jul 2024
Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak Chen-Xiao Gao Yitong Li Chenjun Xiao Bo Dai DiffM 21 3 0 23 Jun 2024
iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning Aidan Scannell Kalle Kujanpää Yi Zhao Mohammadreza Nakhaei Arno Solin J. Pajarinen SSL 32 5 0 04 Jun 2024
Value Improved Actor Critic Algorithms Yaniv Oren Moritz A. Zanger Pascal R. van der Vaart M. Spaan Wendelin Bohmer Wendelin Bohmer OffRL 28 0 0 03 Jun 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate Fan Luo Zuolin Tu Zefang Huang Yang Yu OffRL 32 0 0 24 May 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 23 8 0 24 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 32 3 0 20 May 2024
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline Wenjia Meng Qian Zheng Long Yang Yilong Yin Gang Pan OffRL 34 0 0 04 May 2024
Markov flow policy -- deep MC Nitsan Soffair Gilad Katz 26 0 0 01 May 2024
Simple Ingredients for Offline Reinforcement Learning Edoardo Cetin Andrea Tirinzoni Matteo Pirotta A. Lazaric Yann Ollivier Ahmed Touati OffRL 32 2 0 19 Mar 2024
Conservative DDPG -- Pessimistic RL without Ensemble Nitsan Soffair Shie Mannor OffRL 24 0 0 08 Mar 2024
SQT -- std $Q$ -target Nitsan Soffair Dotan Di Castro Orly Avner Shie Mannor OffRL 28 0 0 03 Feb 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 17 20 0 17 Jan 2024
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization Takuya Hiraoka OffRL 25 1 0 10 Dec 2023
Generalizable Imitation Learning Through Pre-Trained Representations Wei-Di Chang F. Hogan D. Meger Gregory Dudek Gregory Dudek 33 1 0 15 Nov 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 32 0 0 26 Sep 2023
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 31 18 0 15 Sep 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 832 0 12 Oct 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 274 339 0 14 Sep 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 136 184 0 08 May 2020