CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies

19 May 2022

Papers citing "CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies"

8 / 8 papers shown

Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 126 13 0 03 Jan 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 194 30,069 0 01 Mar 2022
Optimality in Noisy Importance Sampling F. Llorente Luca Martino Jesse Read D. Delgado 63 5 0 07 Jan 2022
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,423 0 15 May 2017
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 50 353 0 11 Nov 2016
Connecting Generative Adversarial Networks and Actor-Critic Methods David Pfau Oriol Vinyals OffRL AI4CE 63 186 0 06 Oct 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 119 3,089 0 10 Jun 2016
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 107 12,163 0 19 Dec 2013