Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies

3 November 2021

Martin Riedmiller

Markus Wulfmeier

Daniela Rus

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Papers citing "Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies"

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Title
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces Alex Beeson David Ireland Giovanni Montana OffRL 43 0 0 17 Nov 2024
Learning in complex action spaces without policy gradients Arash Tavakoli Sina Ghiassian Nemanja Rakićević OffRL 23 0 0 08 Oct 2024
Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions David Olivares Pierre Fournier Pavan Vasishta Julien Marzat 25 0 0 26 Sep 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning Yuanyang Zhu Zhi Wang Yuanheng Zhu Chunlin Chen Dongbin Zhao 16 0 0 01 Aug 2024
Redundancy-aware Action Spaces for Robot Learning Pietro Mazzaglia Nicholas Backshall Xiao Ma Stephen James 32 2 0 06 Jun 2024
Stochastic Q-learning for Large Discrete Action Spaces Fares Fourati Vaneet Aggarwal Mohamed-Slim Alouini OffRL 39 2 0 16 May 2024
Geometric Fabrics: a Safe Guiding Medium for Policy Learning Karl Van Wyk Ankur Handa Viktor Makoviychuk Yijie Guo Arthur Allshire Nathan D. Ratliff 27 5 0 03 May 2024
Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies Seyed soroush Karimi madahi Gargya Gokhale Marie-Sophie Verwee Bert Claessens Chris Develder 29 0 0 29 Apr 2024
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution Tim Seyde Peter Werner Wilko Schwarting Markus Wulfmeier Daniela Rus OffRL 32 4 0 05 Apr 2024
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments Hongrui Zheng Zhijun Zhuang Stephanie Wu Shuo Yang Rahul Mangharam 30 1 0 17 Mar 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes David Ireland Giovanni Montana 37 3 0 16 Jan 2024
Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism Seyed soroush Karimi madahi Bert Claessens Chris Develder 19 1 0 23 Dec 2023
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning Bryan Chan Karime Pereida James Bergstra 39 1 0 02 Nov 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 29 1 0 30 Oct 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks Antonin Raffin Olivier Sigaud Jens Kober Alin Albu-Schäffer João Silvério F. Stulp 29 2 0 09 Oct 2023
Sim-to-real transfer of active suspension control using deep reinforcement learning Viktor Wiberg Erik Wallin Arvid Fälldin Tobias Semberg Morgan Rossander E. Wadbro Martin Servin 23 7 0 19 Jun 2023
Reinforcement Learning with Simple Sequence Priors Tankred Saanum N. Éltető Peter Dayan Marcel Binz Eric Schulz OffRL 23 7 0 26 May 2023
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing Elena Shrestha C. Reddy Hanxi Wan Yulun Zhuang Ram Vasudevan 25 1 0 08 May 2023
Robust Path Following on Rivers Using Bootstrapped Reinforcement Learning N. Paulig Ostap Okhrin 11 7 0 24 Mar 2023
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 27 22 0 22 Oct 2022
Game-theoretic Objective Space Planning Hongrui Zheng Zhijun Zhuang Johannes Betz Rahul Mangharam 21 6 0 16 Sep 2022
RangL: A Reinforcement Learning Competition Platform Viktor Zobernig Richard A. Saldanha Jinke He E. V. D. Sar J. V. Doorn ... Alessandro Zocca S. Bhulai Jorge Montalvo Arvizu Claude Klöckl John Moriarty 19 1 0 28 Jul 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater 26 17 0 08 Jun 2022
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach Edoardo Ghignone Nicolas Baumann Mike Boss Michele Magno 26 13 0 19 May 2022
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control Abdolreza Taheri J. Pajarinen R. Ghabcheloo GP 19 3 0 28 Feb 2022
Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning Stephen James Pieter Abbeel 17 9 0 08 Feb 2022
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors Sven Gronauer Matthias Kissel L. Sacchetto Mathias Korte Klaus Diepold 19 5 0 04 Jan 2022
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 26 23 0 19 Oct 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 30 37 0 08 Mar 2021