Co-occurring keywords · papers mentioning both
Papers
Curiosity-Driven Exploration via Latent Bayesian Surprise
AAAI 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
NeurIPS 2022
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation
AAAI 2022
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
NeurIPS 2022
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
RSS 2021
Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness
IJCAI 2021
Grounding Language to Autonomously-Acquired Skills via Goal Generation
ICLR 2021
Information is Power: Intrinsic Control via Information Capture
NeurIPS 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
ICLR 2021
Mutual Information State Intrinsic Control
ICLR 2021
Relative Variational Intrinsic Control
AAAI 2021
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
AAAI 2020
Fast Task Inference with Variational Intrinsic Successor Features
ICLR 2020
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
NeurIPS 2020
Intrinsic Motivation for Encouraging Synergistic Behavior
ICLR 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration
NeurIPS 2020
Latent World Models For Intrinsically Motivated Exploration
NeurIPS 2020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
AAAI 2020
Optimistic Exploration even with a Pessimistic Initialisation
ICLR 2020
Reward Prediction Error as an Exploration Objective in Deep RL
IJCAI 2020
See, Hear, Explore: Curiosity via Audio-Visual Association
NeurIPS 2020
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
NeurIPS 2019
Control What You Can: Intrinsically Motivated Task-Planning Agent
NeurIPS 2019
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
ICML 2019