Montezuma's Revenge

Montezuma's Revenge is an ATARI 2600 Benchmark game that is known to be difficult to perform on for reinforcement learning algorithms. Solutions typically employ algorithms that incentivise environment exploration in different ways.

For the state-of-the art tables, please consult the parent Atari Games task.

( Image credit: Q-map )

Papers

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Showing 26–50 of 61 papers

Title	Date	Tasks	Status	Hype
First return, then explore	Apr 27, 2020	Atari GamesMontezuma's Revenge	CodeCode Available	1
Exploring Unknown States with Action Balance	Mar 10, 2020	Atari GamesDeep Reinforcement Learning	CodeCode Available	0
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations	Feb 4, 2020	Decision MakingMontezuma's Revenge	—Unverified	0
MIME: Mutual Information Minimisation Exploration	Jan 16, 2020	Montezuma's Revengereinforcement-learning	—Unverified	0
On Bonus Based Exploration Methods In The Arcade Learning Environment	Jan 1, 2020	Atari GamesMontezuma's Revenge	—Unverified	0
Uncertainty-sensitive Learning and Planning with Ensembles	Dec 19, 2019	Montezuma's RevengeReinforcement Learning	CodeCode Available	0
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning	Nov 22, 2019	Deep Reinforcement LearningHierarchical Reinforcement Learning	CodeCode Available	0
Uncertainty - sensitive learning and planning with ensembles	Sep 25, 2019	Montezuma's RevengeSokoban	CodeCode Available	0
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment	Aug 6, 2019	Atari GamesBenchmarking	—Unverified	0
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards	Jul 24, 2019	Atari GamesDiversity	—Unverified	0
Combining Experience Replay with Exploration by Random Network Distillation	May 18, 2019	Atari GamesMontezuma's Revenge	CodeCode Available	0
Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning	May 13, 2019	Hierarchical Reinforcement LearningMontezuma's Revenge	—Unverified	0
Using Natural Language for Reward Shaping in Reinforcement Learning	Mar 5, 2019	Atari GamesMontezuma's Revenge	CodeCode Available	0
Go-Explore: a New Approach for Hard-Exploration Problems	Jan 30, 2019	Atari GamesImitation Learning	CodeCode Available	1
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning	Dec 22, 2018	Atari GamesHierarchical Reinforcement Learning	—Unverified	0
Learning Montezuma's Revenge from a Single Demonstration	Dec 8, 2018	Montezuma's Revengereinforcement-learning	—Unverified	0
Contingency-Aware Exploration in Reinforcement Learning	Nov 5, 2018	Atari GamesMontezuma's Revenge	—Unverified	0
Exploration by Random Network Distillation	Oct 30, 2018	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
Learning Representations in Model-Free Hierarchical Reinforcement Learning	Oct 23, 2018	Hierarchical Reinforcement Learningmodel	—Unverified	0
Empowerment-driven Exploration using Mutual Information Estimation	Oct 11, 2018	Deep Reinforcement LearningMontezuma's Revenge	CodeCode Available	0
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks	Oct 6, 2018	AllMontezuma's Revenge	CodeCode Available	0
Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems	Jun 1, 2018	Deep Reinforcement LearningMontezuma's Revenge	—Unverified	0
Observe and Look Further: Achieving Consistent Performance on Atari	May 29, 2018	Atari GamesDeep Reinforcement Learning	—Unverified	0
Playing hard exploration games by watching YouTube	May 29, 2018	Deep Reinforcement LearningMontezuma's Revenge	CodeCode Available	1
Hierarchical Imitation and Reinforcement Learning	Mar 1, 2018	Decision MakingImitation Learning	—Unverified	0

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