| An Optimistic Perspective on Offline Reinforcement Learning R Agarwal, D Schuurmans, M Norouzi International Conference on Machine Learning (ICML), 2020 | 503* | 2020 |
| Deep Reinforcement Learning at the Edge of the Statistical Precipice R Agarwal, M Schwarzer, PS Castro, A Courville, MG Bellemare Neural Information Processing Systems (NeurIPS), 𝗢𝘂𝘁𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱, 2021 | 350 | 2021 |
| Neural additive models: Interpretable machine learning with neural nets R Agarwal, L Melnick, Frosst, Zhang, Lengerich, R Caruana, GE Hinton Neural Information Processing Systems (NeurIPS), 𝗦𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁, 2021 | 316 | 2021 |
| Revisiting Fundamentals of Experience Replay W Fedus*, P Ramachandran*, R Agarwal, Y Bengio, H Larochelle, ... International Conference on Machine Learning (ICML), 2020 | 218 | 2020 |
| Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning R Agarwal, MC Machado, PS Castro, MG Bellemare International Conference on Learning Representations (ICLR), 𝗦𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁, 2021 | 153 | 2021 |
| RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning C Gulcehre, Z Wang, A Novikov, T Paine, S Gómez, K Zolna, R Agarwal, ... Advances in Neural Information Processing Systems (NeurIPS), 2020 | 149* | 2020 |
| Learning to Generalize from Sparse and Underspecified Rewards R Agarwal, C Liang, D Schuurmans, M Norouzi International Conference on Machine Learning (ICML), 2019 | 98 | 2019 |
| Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning R Agarwal*, A Kumar*, D Ghosh, S Levine International Conference on Learning Representations (ICLR), *equal contribution, 2021 | 64* | 2021 |
| DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization A Kumar, R Agarwal, T Ma, A Courville, G Tucker, S Levine International Conference on Learning Representations (ICLR), 𝗦𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁, 2022 | 35 | 2022 |
| Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress R Agarwal, M Schwarzer, PS Castro, A Courville, MG Bellemare Neural Information Processing Systems (NeurIPS), 2022 | 29* | 2022 |
| Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation E Nikishin, R Abachi, R Agarwal, PL Bacon AAAI Conference on Artificial Intelligence, 2022 | 25 | 2022 |
| Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes A Kumar, R Agarwal, X Geng, G Tucker, S Levine International Conference on Learning Representations (ICLR), 𝐍𝐨𝐭𝐚𝐛𝐥𝐞-𝐭𝐨𝐩-𝟓%, 2023 | 17 | 2023 |
| On the Generalization of Representations in Reinforcement Learning CL Lan, S Tu, A Oberman, R Agarwal, MG Bellemare International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 | 15 | 2022 |
| The Dormant Neuron Phenomenon in Deep Reinforcement Learning G Sokar, R Agarwal, PS Castro, U Evci International Conference on Machine Learning (ICML), 𝐎𝐫𝐚𝐥, 2023 | 10 | 2023 |
| Bigger, Better, Faster: Human-level Atari with human-level efficiency M Schwarzer, JO Ceron, Courville, Bellemare, PS Castro*, R Agarwal* International Conference on Machine Learning (ICML), *equal advising, 2023 | 10 | 2023 |
| Generalized Knowledge Distillation for Auto-regressive Language Models R Agarwal*, N Vieillard*, Y Zhou, P Stanczyk, S Ramos, M Geist, ... arXiv preprint arXiv:2306.13649, 2023 | 7* | 2023 |
| Investigating Multi-task Pretraining and Generalization in Reinforcement Learning AA Taiga, R Agarwal, J Farebrother, A Courville, MG Bellemare International Conference on Learning Representations (ICLR), 2023 | 6 | 2023 |
| A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces CL Lan, J Greaves, J Farebrother, M Rowland, F Pedregosa, R Agarwal, ... International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | 3 | 2023 |
| Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks J Farebrother, J Greaves, R Agarwal, C Le Lan, R Goroshin, PS Castro, ... International Conference on Learning Representations (ICLR), 2023 | 2 | 2023 |
| Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ... Neural Information Processing Systems, NeurIPS, 2023 | 1 | 2023 |
Marc G. BellemareGoogle BrainZweryfikowany adres z google.com
