Alert button
Picture for Rupesh Kumar Srivastava

Rupesh Kumar Srivastava

Alert button

Bayesian Flow Networks

Aug 14, 2023
Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino Gomez

Figure 1 for Bayesian Flow Networks
Figure 2 for Bayesian Flow Networks
Figure 3 for Bayesian Flow Networks
Figure 4 for Bayesian Flow Networks
Viaarxiv icon

Universal Smoothed Score Functions for Generative Modeling

Mar 21, 2023
Saeed Saremi, Rupesh Kumar Srivastava, Francis Bach

Viaarxiv icon

EvoTorch: Scalable Evolutionary Computation in Python

Feb 27, 2023
Nihat Engin Toklu, Timothy Atkinson, Vojtěch Micka, Paweł Liskowski, Rupesh Kumar Srivastava

Figure 1 for EvoTorch: Scalable Evolutionary Computation in Python
Figure 2 for EvoTorch: Scalable Evolutionary Computation in Python
Figure 3 for EvoTorch: Scalable Evolutionary Computation in Python
Figure 4 for EvoTorch: Scalable Evolutionary Computation in Python
Viaarxiv icon

Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets

May 13, 2022
Miroslav Štrupl, Francesco Faccio, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava

Figure 1 for Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets
Viaarxiv icon

Learning Relative Return Policies With Upside-Down Reinforcement Learning

Feb 23, 2022
Dylan R. Ashley, Kai Arulkumaran, Jürgen Schmidhuber, Rupesh Kumar Srivastava

Figure 1 for Learning Relative Return Policies With Upside-Down Reinforcement Learning
Figure 2 for Learning Relative Return Policies With Upside-Down Reinforcement Learning
Viaarxiv icon

Multimeasurement Generative Models

Dec 18, 2021
Saeed Saremi, Rupesh Kumar Srivastava

Figure 1 for Multimeasurement Generative Models
Figure 2 for Multimeasurement Generative Models
Figure 3 for Multimeasurement Generative Models
Figure 4 for Multimeasurement Generative Models
Viaarxiv icon

Reward-Weighted Regression Converges to a Global Optimum

Jul 19, 2021
Miroslav Štrupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

Figure 1 for Reward-Weighted Regression Converges to a Global Optimum
Figure 2 for Reward-Weighted Regression Converges to a Global Optimum
Viaarxiv icon

ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution

Aug 05, 2020
Nihat Engin Toklu, Paweł Liskowski, Rupesh Kumar Srivastava

Figure 1 for ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
Figure 2 for ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
Figure 3 for ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
Figure 4 for ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
Viaarxiv icon

Training Agents using Upside-Down Reinforcement Learning

Dec 05, 2019
Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz, Wojciech Jaśkowski, Jürgen Schmidhuber

Figure 1 for Training Agents using Upside-Down Reinforcement Learning
Figure 2 for Training Agents using Upside-Down Reinforcement Learning
Figure 3 for Training Agents using Upside-Down Reinforcement Learning
Figure 4 for Training Agents using Upside-Down Reinforcement Learning
Viaarxiv icon