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Direct Behavior Specification via Constrained Reinforcement Learning

22 December 2021

Pierre-Luc Bacon

Papers citing "Direct Behavior Specification via Constrained Reinforcement Learning"

40 / 40 papers shown

Title
Configurable Agent With Reward As Input: A Play-Style Continuum Generation Pierre Le Pelletier de Woillemont Rémi Labory Vincent Corruble 47 11 0 29 Nov 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 81 5 0 22 Dec 2021
On the Expressivity of Markov Reward David Abel Will Dabney Anna Harutyunyan Mark K. Ho Michael L. Littman Doina Precup Satinder Singh 84 85 0 01 Nov 2021
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation Sam Devlin Raluca Georgescu Ida Momennejad Jaroslaw Rzepecki Evelyn Zuniga Gavin Costello Guy Leroy A. Shaw Katja Hofmann 60 22 0 20 May 2021
Augmenting Automated Game Testing with Deep Reinforcement Learning Joakim Bergdahl Camilo Gordillo Konrad Tollmar Linus Gisslén OffRL 46 74 0 29 Mar 2021
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents Camilo Gordillo Joakim Bergdahl Konrad Tollmar Linus Gisslén OnRL 67 42 0 25 Mar 2021
Adversarial Reinforcement Learning for Procedural Content Generation Linus Gisslén Andy Eakins Camilo Gordillo Joakim Bergdahl Konrad Tollmar 49 48 0 08 Mar 2021
Deep Reinforcement Learning for Navigation in AAA Video Games Eloi Alonso Maxim Peter David Goumard Joshua Romoff 49 37 0 09 Nov 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 92 139 0 27 Oct 2020
Balancing Constraints and Rewards with Meta-Gradient D4PG D. A. Calian D. Mankowitz Tom Zahavy Zhongwen Xu Junhyuk Oh Nir Levine Timothy A. Mann 68 25 0 13 Oct 2020
Projection-Based Constrained Policy Optimization Tsung-Yen Yang Justinian P. Rosca Karthik Narasimhan Peter J. Ramadge 43 243 0 07 Oct 2020
"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games Mikhail Jacob Sam Devlin Katja Hofmann LLMAG AI4CE 53 18 0 01 Sep 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 84 300 0 08 Jul 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 45 93 0 22 Jun 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 105 193 0 23 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,838 0 13 Dec 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin Chi Jin Michael I. Jordan 129 508 0 02 Jun 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 96 551 0 29 Apr 2019
Using Natural Language for Reward Shaping in Reinforcement Learning Prasoon Goyal S. Niekum Raymond J. Mooney LM&Ro 102 183 0 05 Mar 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 86 247 0 28 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 150 2,453 0 13 Dec 2018
Active Inverse Reward Design Sören Mindermann Rohin Shah Adam Gleave Dylan Hadfield-Menell 75 20 0 09 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 100 260 0 09 Sep 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 166 1,884 0 01 Aug 2018
Simplifying Reward Design through Divide-and-Conquer Ellis Ratner Dylan Hadfield-Menell Anca Dragan 49 29 0 07 Jun 2018
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 86 544 0 28 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 195 5,218 0 26 Feb 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 53 443 0 26 Jan 2018
Inverse Reward Design Dylan Hadfield-Menell S. Milli Pieter Abbeel Stuart J. Russell Anca Dragan 91 399 0 08 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 131 757 0 30 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 565 19,296 0 20 Jul 2017
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention William Saunders Girish Sastry Andreas Stuhlmuller Owain Evans OffRL 70 231 0 17 Jul 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 218 3,377 0 12 Jun 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 134 1,335 0 30 May 2017
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 256 2,405 0 21 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 165 3,125 0 10 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 132 12,272 0 19 Dec 2013
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 259 3,238 0 02 Nov 2010