The Arcade Learning Environment: An Evaluation Platform for General Agents

19 July 2012

Papers citing "The Arcade Learning Environment: An Evaluation Platform for General Agents"

43 / 43 papers shown

Title
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 110 1 0 26 Mar 2025
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs Nicolas Le Roux Marc G. Bellemare Jonathan Lebensold Arnaud Bergeron Joshua Greaves Alex Fréchette Carolyne Pelletier Eric Thibodeau-Laufer Sándor Toth Sam Work OffRL 114 5 0 18 Mar 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 140 1 0 20 Feb 2025
Spatial-aware decision-making with ring attractors in reinforcement learning systems Marcos Negre Saura Richard Allmendinger Theodore Papamarkou Wei Pan 351 0 0 17 Feb 2025
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning Bryan L. M. de Oliveira Murilo L. da Luz Bruno Brandão Luana G. B. Martins Telma W. de L. Soares Luckeciano C. Melo OffRL 98 1 0 17 Feb 2025
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Niccolò Grillo Andrea Toccaceli Joël Mathys Benjamin Estermann Stefania Fresca Roger Wattenhofer AI4CE LRM 184 0 0 06 Feb 2025
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 123 16 0 28 Jan 2025
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation Wenzhang Liu Lianjun Jin Lu Ren Chaoxu Mu Changyin Sun CML 70 0 0 24 Jan 2025
Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning Matyáš Lorenc 58 1 0 23 Jan 2025
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic Huaiyuan Yao Longchao Da Vishnu Nandam Justin Turnau Zhiwei Liu Linsey Pang Hua Wei LLMAG 79 6 0 10 Jan 2025
ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze Chunyu Xuan Yazhe Niu Yuan Pu Shuai Hu Yu Liu Jing Yang 101 0 0 03 Jan 2025
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Davide Paglieri Bartłomiej Cupiał Samuel Coward Ulyana Piterbarg Maciej Wolczyk ... Lerrel Pinto Rob Fergus Jakob Foerster Jack Parker-Holder Tim Rocktaschel LLMAG LRM 155 16 0 20 Nov 2024
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 87 1 0 06 Nov 2024
Soft Condorcet Optimization for Ranking of General Agents Marc Lanctot Kate Larson Michael Kaisers Quentin Berthet I. Gemp Manfred Diaz Roberto-Rafael Maura-Rivero Yoram Bachrach Anna Koop Doina Precup 152 0 0 31 Oct 2024
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied Thomas Adler Vihang Patil M. Beck Korbinian Poppel Johannes Brandstetter Günter Klambauer Razvan Pascanu Sepp Hochreiter 168 5 0 29 Oct 2024
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions Nate Gillman Daksh Aggarwal Michael Freeman Saurabh Singh Chen Sun AI4TS 68 3 0 29 Oct 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch Shengyi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Rameswar Panda OffRL 100 8 0 23 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse Devendra Singh Dhami Kristian Kersting 69 3 0 15 Oct 2024
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition Zhong Zheng Haochen Zhang Lingzhou Xue OffRL 95 2 0 10 Oct 2024
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL Ghada Sokar J. Obando-Ceron Rameswar Panda Hugo Larochelle Pablo Samuel Castro MoE 245 5 0 02 Oct 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 55 0 0 19 Sep 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 73 6 0 06 Aug 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 111 3 0 18 Jul 2024
Gradient Boosting Reinforcement Learning Benjamin Fuhrer Chen Tessler Gal Dalal OffRL AI4CE 98 3 0 11 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 82 21 0 05 Jul 2024
UniZero: Generalized and Efficient Planning with Scalable Latent World Models Yuan Pu Yazhe Niu Jiyuan Ren Zhenjie Yang Hongsheng Li Yu Liu OffRL 112 2 0 15 Jun 2024
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity Yan Yang Bin Gao Ya-xiang Yuan 97 2 0 30 May 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 102 0 0 29 May 2024
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models Cong Lu Shengran Hu Jeff Clune LLMAG 57 10 0 24 May 2024
A Survey on Large Language Model-Based Game Agents Sihao Hu Tiansheng Huang Gaowen Liu Ramana Rao Kompella Gaowen Liu Selim Furkan Tekin Yichang Xu Zachary Yahn Ling Liu LLMAG LM&Ro AI4CE LM&MA 90 55 0 02 Apr 2024
Return-Aligned Decision Transformer Tsunehiko Tanaka Kenshi Abe Kaito Ariu Tetsuro Morimura Edgar Simo-Serra OffRL 96 1 0 06 Feb 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 102 5 0 13 Dec 2023
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents Sungwoo Lee Younghyun Oh Hyunhoe An Hyebhin Yoon K. Friston Seok Jun Hong Choong-Wan Woo AI4CE 86 1 0 12 Sep 2023
Improving robot navigation in crowded environments using intrinsic rewards Diego Martínez Baselga L. Riazuelo Luis Montano 63 13 0 13 Feb 2023
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 54 17 0 11 Aug 2020
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems Yue Wang Esha Sarkar Wenqing Li Michail Maniatakos Saif Eddin Jabari AAML 109 62 0 17 Mar 2020
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong Tzu-Yun Shann Shih-Yang Su Yi-Hsiang Chang Chun-Yi Lee 49 123 0 13 Feb 2018
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning Sahil Sharma A. Suresh Rahul Ramesh Balaraman Ravindran OffRL 36 36 0 20 May 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 52 92 0 18 May 2017
Deep Semi-Random Features for Nonlinear Function Approximation Kenji Kawaguchi Bo Xie Vikas Verma Le Song 108 15 0 28 Feb 2017
Collaborative Deep Reinforcement Learning Kaixiang Lin Shu Wang Jiayu Zhou 40 21 0 19 Feb 2017
An Approximation of the Universal Intelligence Measure Shane Legg J. Veness 49 72 0 27 Sep 2011
Measuring Intelligence through Games Tom Schaul Julian Togelius Jürgen Schmidhuber ELM AI4CE 68 54 0 06 Sep 2011