Rishabh Agarwal

发表

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning pdf

Marlos C. Machado, Marc G. Bellemare, Rishabh Agarwal, 2021, ICLR.

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

Sergio Gomez Colmenarejo, Matthew W. Hoffman, T. Paine, 2020 .

RL Unplugged: Benchmarks for Offline Reinforcement Learning

Sergio Gomez Colmenarejo, Matthew W. Hoffman, T. Paine, 2020, ArXiv.

Neural Additive Models: Interpretable Machine Learning with Neural Nets pdf

Geoffrey E. Hinton, Rich Caruana, Rishabh Agarwal, 2020, NeurIPS.

RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning

Sergio Gomez Colmenarejo, Nando de Freitas, Alexander Novikov, 2020, NeurIPS.

An Optimistic Perspective on Offline Deep Reinforcement Learning

Mohammad Norouzi, Rishabh Agarwal, Dale Schuurmans, 2020, International Conference on Machine Learning.

An Optimistic Perspective on Offline Reinforcement Learning

Rishabh Agarwal, D. Schuurmans, Mohammad Norouzi, 2019, ICML.

Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

Marc G. Bellemare, Rishabh Agarwal, P. S. Castro, 2022, NeurIPS.

Beyond Tabula Rasa: Reincarnating Reinforcement Learning

Marc G. Bellemare, Rishabh Agarwal, P. S. Castro, 2022, ArXiv.

Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks

Marc G. Bellemare, Charline Le Lan, Rishabh Agarwal, 2023, 2304.12567.

A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces

Marc G. Bellemare, Charline Le Lan, Mark Rowland, 2022, AISTATS.

Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes

S. Levine, Rishabh Agarwal, G. Tucker, 2022, ArXiv.

The Dormant Neuron Phenomenon in Deep Reinforcement Learning

Rishabh Agarwal, P. S. Castro, Utku Evci, 2023, ArXiv.

Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning pdf

Sergey Levine, Rishabh Agarwal, Aviral Kumar, 2020, ICLR.

Learning to Generalize from Sparse and Underspecified Rewards pdf

Dale Schuurmans, Chen Liang, Mohammad Norouzi, 2019, ICML.

Deep Reinforcement Learning at the Edge of the Statistical Precipice pdf

Marc G. Bellemare, Aaron C. Courville, Rishabh Agarwal, 2021, NeurIPS.

Revisiting Bellman Errors for Offline Model Selection

Joshua P. Zitovsky, Rishabh Agarwal, D. Marchi, 2023, ArXiv.

Bigger, Better, Faster: Human-level Atari with human-level efficiency

Aaron Courville, Max Schwarzer, Rishabh Agarwal, 2023, 2305.19452.

Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes

S. Levine, Rishabh Agarwal, G. Tucker, 2022, ICLR.

Investigating Multi-task Pretraining and Generalization in Reinforcement Learning

Marc G. Bellemare, Adrien Ali Taïga, Rishabh Agarwal, 2023, ICLR.

GKD: Generalized Knowledge Distillation for Auto-regressive Sequence Models

Rishabh Agarwal, M. Geist, Olivier Bachem, 2023, ArXiv.

DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization pdf

Sergey Levine, Aaron C. Courville, Rishabh Agarwal, 2021, ICLR.

Bootstrapped Representations in Reinforcement Learning

Marc G. Bellemare, Charline Le Lan, Mark Rowland, 2023, ICML.

On the Generalization of Representations in Reinforcement Learning

Adam M. Oberman, Charline Le Lan, Rishabh Agarwal, 2022, AISTATS.

Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation pdf

Rishabh Agarwal, Pierre-Luc Bacon, Romina Abachi, 2021, AAAI.

Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks

Marc G. Bellemare, Charline Le Lan, Rishabh Agarwal, 2023, ICLR.

Implementing Electronic Voting System Using Block chain

Rishabh Agarwal, Anirudh Grover, Kedar Apet, 2020 .

Bigger, Better, Faster: Human-level Atari with human-level efficiency

Marc G. Bellemare, Johan S. Obando-Ceron, Rishabh Agarwal, 2023, ICML.

The Dormant Neuron Phenomenon in Deep Reinforcement Learning

Rishabh Agarwal, P. S. Castro, Utku Evci, 2023, ICML.

Striving for Simplicity in Off-policy Deep Reinforcement Learning pdf

Dale Schuurmans, Mohammad Norouzi, Rishabh Agarwal, 2019, ArXiv.

Revisiting Bellman Errors for Offline Model Selection

Joshua P. Zitovsky, Rishabh Agarwal, D. Marchi, 2023, ICML.