Atari

The Arcade Learning Environment — Atari 2600 games used as a standard deep-reinforcement-learning benchmark.

Papers using Atari (64)

Hadamax Encoding: Elevating Performance in Model-Free Atari2025 · 3 citesPerformance Variation in Deep Reinforcement Learning2026The Heterogeneous Multi-Agent Challenge2025 · 1 citesADDQ: Adaptive Distributional Double Q-Learning2025 · 1 citesBeyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer2025 · 1 citesULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning2025 · 1 citesAn Empirical Study of Deep Reinforcement Learning in Continuing Tasks2025 · 1 citesInterpret Policies in Deep Reinforcement Learning using SILVER with RL-Guided Labeling: A Model-level Approach to High-dimensional and Multi-action Environments2025ANO: A Principled Approach to Robust Policy Optimization2026Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL2026Scalable Reinforcement Learning via Adaptive Batch Scaling2026Bounded Ratio Reinforcement Learning2026Optimistic Policy Regularization2026ARROW: Augmented Replay for RObust World models2026Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning2026Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration2026Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning2026Value Bonuses using Ensemble Errors for Exploration in Reinforcement Learning2026Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics2026Recurrent Off-Policy Deep Reinforcement Learning Doesn't Have to be Slow2025SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning2025Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX2025The Formalism-Implementation Gap in Reinforcement Learning Research2025Toward Agents That Reason About Their Computation2025One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning2025Revisiting Actor-Critic Methods in Discrete Action Off-Policy Reinforcement Learning2025Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring2025Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning2025"So, Tell Me About Your Policy...": Distillation of interpretable policies from Deep Reinforcement Learning agents2025Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning2025LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models2025Deep Reinforcement Learning Agents are not even close to Human Intelligence2025PPO-BR: Dual-Signal Entropy-Reward Adaptation for Trust Region Policy Optimization2025Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network2025Deep Reinforcement Learning via Object-Centric Attention2025Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning2025Do We Need Transformers to Play FPS Video Games?2025Experience Replay with Random Reshuffling2025Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models2025Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations2025Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach2025Efficient Diversity-based Experience Replay for Deep Reinforcement Learning2024 · 3 citesScaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining2024UniZero: Generalized and Efficient Planning with Scalable Latent World Models2024Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps2024 · 3 citesEnd-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations2024 · 2 citesGeneralizing soft actor-critic algorithms to discrete action spaces2024 · 2 citesOn the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning2024 · 1 citesNo Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO2024 · 1 citesMore Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling2024 · 1 citesNormalization and effective learning rates in reinforcement learning2024 · 1 citesSimplifying Deep Temporal Difference Learning2024 · 1 citesHard-Thresholding Meets Evolution Strategies in Reinforcement Learning2024Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning2024Learning the Target Network in Function Space2024Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning2024Online Policy Distillation with Decision-Attention2024PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice2024Understanding and Diagnosing Deep Reinforcement Learning2024Random Latent Exploration for Deep Reinforcement Learning2024PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation2024Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach2024Time-Scale Separation in Q-Learning: Extending TD($\triangle$) for Action-Value Function Decomposition2024Segmenting Action-Value Functions Over Time-Scales in SARSA via TD($\Delta$)2024