SOTAVerified

Atari Games

The Atari 2600 Games task (and dataset) involves training an agent to achieve high game scores.

( Image credit: Playing Atari with Deep Reinforcement Learning )

Papers

Showing 401450 of 625 papers

TitleStatusHype
Hindsight Trust Region Policy OptimizationCode0
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning0
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards0
Characterizing Attacks on Deep Reinforcement LearningCode0
Accelerating Reinforcement Learning through GPU Atari EmulationCode0
An Optimistic Perspective on Offline Reinforcement LearningCode1
In Hindsight: A Smooth Reward for Steady Exploration0
Deep Conservative Policy Iteration0
Unsupervised State Representation Learning in AtariCode1
Reward Prediction Error as an Exploration Objective in Deep RL0
Learning Powerful Policies by Using Consistent Dynamics ModelCode0
Clustered Reinforcement Learning0
Reinforcement Learning with Low-Complexity Liquid State MachinesCode0
CopyCAT: Taking Control of Neural Policies with Constant Attacks0
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function0
Exploration via Flow-Based Intrinsic RewardsCode0
Combining Experience Replay with Exploration by Random Network DistillationCode0
Distributional Reinforcement Learning for Efficient Exploration0
Accelerated Target Updates for Q-learning0
Towards Consistent Performance on Atari using Expert Demonstrations0
Learning to Control Visual Abstractions for Structured Exploration in Deep Reinforcement Learning0
Recurrent Experience Replay in Distributed Reinforcement LearningCode0
Learning Abstract Models for Long-Horizon Exploration0
Compression and Localization in Reinforcement Learning for ATARI Games0
Deep Policies for Width-Based Planning in Pixel DomainsCode0
Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari EnvironmentsCode0
Reinforcement Learning with Attention that Works: A Self-Supervised Approach0
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement LearningCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
DQN with model-based exploration: efficient learning on environments with sparse rewards0
Towards automatic construction of multi-network models for heterogeneous multi-task learning0
Deep Reinforcement Learning with Decorrelation0
Reinforcement Learning with Dynamic Boltzmann Softmax UpdatesCode0
Hybrid Reinforcement Learning with Expert State SequencesCode0
Learning Self-Game-Play Agents for Combinatorial Optimization Problems0
MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning ExperimentsCode0
Continual Learning Using World Models for Pseudo-Rehearsal0
Using Natural Language for Reward Shaping in Reinforcement LearningCode0
Model-Based Reinforcement Learning for AtariCode0
A new Potential-Based Reward Shaping for Reinforcement Learning Agent0
Metaoptimization on a Distributed System for Deep Reinforcement Learning0
Obstacle Tower: A Generalization Challenge in Vision, Control, and PlanningCode0
Visual Rationalizations in Deep Reinforcement Learning for Atari Games0
Go-Explore: a New Approach for Hard-Exploration ProblemsCode1
Modularization of End-to-End Learning: Case Study in Arcade Games0
Combinational Q-Learning for Dou Di ZhuCode0
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning0
Information-Directed Exploration for Deep Reinforcement LearningCode0
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning AgentsCode0
KF-LAX: Kronecker-factored curvature estimation for control variate optimization in reinforcement learning0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDI-H3(200M frames)Score864Unverified
2GDI-H3Score864Unverified
3GDI-I3(200M frames)Score864Unverified
4GDI-I3Score864Unverified
5Bootstrapped DQNScore855Unverified
6FQFScore854.2Unverified
7R2D2Score837.7Unverified
8Ape-XScore800.9Unverified
9Agent57Score790.4Unverified
10IMPALA (deep)Score787.34Unverified
#ModelMetricClaimedVerifiedStatus
1GDI-I3Score34Unverified
2NoisyNet-DuelingScore34Unverified
3GDI-H3Score34Unverified
4TRPO-hashScore34Unverified
5IQNScore34Unverified
6QR-DQN-1Score34Unverified
7GDI-H3(200M frames)Score34Unverified
8Go-ExploreScore34Unverified
9ASL DDQNScore33.9Unverified
10C51 noopScore33.9Unverified
#ModelMetricClaimedVerifiedStatus
1Agent57Score580,328.14Unverified
2QR-DQN-1Score572,510Unverified
3R2D2Score408,850Unverified
4IMPALA (deep)Score351,200.12Unverified
5Ape-XScore302,391.3Unverified
6A2C + SILScore104,975.6Unverified
7MuZero (Res2 Adam)Score94,906.25Unverified
8DreamerV2Score94,688Unverified
9MuZeroScore72,276Unverified
10DNAScore52,398Unverified
#ModelMetricClaimedVerifiedStatus
1GDI-H3(200M frames)Score1,000,000Unverified
2GDI-H3Score1,000,000Unverified
3Agent57Score999,997.63Unverified
4R2D2Score999,996.7Unverified
5MuZeroScore999,976.52Unverified
6MuZero (Res2 Adam)Score999,659.18Unverified
7GDI-I3Score943,910Unverified
8Ape-XScore392,952.3Unverified
9C51 noopScore266,434Unverified
10Duel noopScore50,254.2Unverified