Reinforcement Learning with Deep Energy-Based Policies

27 February 2017

Pieter Abbeel

Papers citing "Reinforcement Learning with Deep Energy-Based Policies"

50 / 242 papers shown

Title
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 26 5 0 26 Jul 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park Kaipeng Zhang Asuman Ozdaglar 30 8 0 13 Jul 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation Aniket Das Dheeraj M. Nagaraj 35 7 0 27 May 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets Dinghuai Zhang H. Dai Nikolay Malkin Aaron Courville Yoshua Bengio L. Pan 24 36 0 26 May 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice Toshinori Kitamura Tadashi Kozuno Yunhao Tang Nino Vieillard Michal Valko ... Olivier Pietquin M. Geist Csaba Szepesvári Wataru Kumagai Yutaka Matsuo OffRL 30 2 0 22 May 2023
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 Zhouchen Lin DiffM 28 39 0 22 May 2023
Bayesian Reinforcement Learning with Limited Cognitive Load Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy OffRL 34 8 0 05 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 36 12 0 26 Apr 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization Haoran Xu Li Jiang Jianxiong Li Zhuoran Yang Zhaoran Wang Victor Chan Xianyuan Zhan OffRL 36 71 0 28 Mar 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition Y. Liu Aamir Ahmad 29 4 0 24 Mar 2023
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François Ged M. H. Veiga 23 0 0 22 Mar 2023
Fast Rates for Maximum Entropy Exploration D. Tiapkin Denis Belomestny Daniele Calandriello Eric Moulines Rémi Munos A. Naumov Pierre Perrault Yunhao Tang Michal Valko Pierre Menard 41 17 0 14 Mar 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men M. Geist Shie Mannor 39 1 0 12 Mar 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 29 1 0 08 Mar 2023
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality Hsuan-Kung Yang Tsung-Chih Chiang Tingxin Liu Chun-Wei Huang Jou-Min Liu Tsu-Ching Hsiao Chun-Yi Lee 28 1 0 05 Mar 2023
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing Shuai Xiao Le Guo Zaifan Jiang Lei Lv Yuanbo Chen Jun Zhu Shuang Yang 19 21 0 02 Mar 2023
Why Target Networks Stabilise Temporal Difference Methods Matt Fellows Matthew Smith Shimon Whiteson OOD AAML 15 7 0 24 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 37 2 0 20 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 44 30 0 19 Feb 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 34 13 0 15 Feb 2023
An Efficient Solution to s-Rectangular Robust Markov Decision Processes Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 36 1 0 31 Jan 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 34 3 0 30 Jan 2023
Learning to Generate All Feasible Actions Mirco Theile Daniele Bernardini Raphael Trumpp C. Piazza Marco Caccamo Alberto L. Sangiovanni-Vincentelli 29 2 0 26 Jan 2023
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system Tobi Michael Alabi Nathan P. Lawrence Lin Lu Zaiyue Yang R. Bhushan Gopaluni 11 28 0 18 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 9 25 0 13 Jan 2023
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks Gennaro Notomista 17 2 0 13 Jan 2023
On The Fragility of Learned Reward Functions Lev McKinney Yawen Duan David M. Krueger Adam Gleave 28 20 0 09 Jan 2023
Active Classification of Moving Targets with Learned Control Policies Álvaro Serra-Gómez Eduardo Montijano Wendelin Bohmer Javier Alonso-Mora 48 4 0 06 Dec 2022
Curriculum Learning for Relative Overgeneralization Lin Shi Bei Peng 25 1 0 06 Dec 2022
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning Jacob Adamczyk A. Arriojas Stas Tiomkin R. Kulkarni 37 8 0 02 Dec 2022
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Q. Zhang CML OffRL 20 5 0 28 Nov 2022
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent Jiaxin Shi Lester W. Mackey 28 18 0 17 Nov 2022
Policy-Based Reinforcement Learning for Assortative Matching in Human Behavior Modeling Ou Deng Qun Jin 17 1 0 08 Nov 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy 28 4 0 30 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 29 5 0 20 Oct 2022
CUP: Critic-Guided Policy Reuse Jin Zhang Siyuan Li Chongjie Zhang 23 8 0 15 Oct 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 25 3 0 07 Oct 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 34 42 0 04 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 20 3 0 01 Oct 2022
Regularized Soft Actor-Critic for Behavior Transfer Learning Mingxi Tan Andong Tian Ludovic Denoyer 20 3 0 27 Sep 2022
DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning S. Adebola Satvik Sharma K. Shivakumar OffRL 8 1 0 26 Sep 2022
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle Guibin Chen Xiaoying Shi 19 3 0 20 Sep 2022
Towards Task-Prioritized Policy Composition Finn Rietz Erik Schaffernicht Todor Stoyanov J. A. Stork 20 0 0 20 Sep 2022
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning Xianfu Chen Zhifeng Zhao S. Mao Celimuge Wu Honggang Zhang M. Bennis OffRL 18 3 0 19 Sep 2022
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 13 0 0 04 Sep 2022
Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning Ajay Vishwanath E. Bøhn Ole-Christoffer Granmo Charl Maree C. Omlin AI4CE 30 5 0 30 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 29 4 0 23 Aug 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space Yining Chen Ke Wang Guang-hua Song Xiaohong Jiang 20 3 0 23 Aug 2022
Entropy Augmented Reinforcement Learning Jianfei Ma 28 0 0 19 Aug 2022