Atari Star Gunner Environment

Overview

Stargunner is a scrolling shooter for the Atari 2600 written by Alex Leavens and published by Telesys in 1982.

Description from Wikipedia

Performances of RL Agents

We list various reinforcement learning algorithms that were tested in this environment. These results are from RL Database. If this page was helpful, please consider giving a star!

Star

Human Starts

Result Algorithm Source
164766.0 A3C LSTM Asynchronous Methods for Deep Reinforcement Learning
138218.0 A3C FF Asynchronous Methods for Deep Reinforcement Learning
127073.0 PDD DQN Dueling Network Architectures for Deep Reinforcement Learning
123853.0 Rainbow Rainbow: Combining Improvements in Deep Reinforcement Learning
90804.0 DuDQN Dueling Network Architectures for Deep Reinforcement Learning
67054.5 Distributional DQN Rainbow: Combining Improvements in Deep Reinforcement Learning
64393.0 A3C FF 1 day Asynchronous Methods for Deep Reinforcement Learning
61582.0 Prioritized DDQN (rank, tuned) Prioritized Experience Replay
58946.0 Prioritized DQN (rank) Prioritized Experience Replay
58365.0 DDQN (tuned) Deep Reinforcement Learning with Double Q-learning
53052.0 DDQN Deep Reinforcement Learning with Double Q-learning
51959.0 Prioritized DDQN (prop, tuned) Prioritized Experience Replay
34081.0 DQN Massively Parallel Methods for Deep Reinforcement Learning
14919.25 Gorila DQN Massively Parallel Methods for Deep Reinforcement Learning
9528.0 Human Massively Parallel Methods for Deep Reinforcement Learning
697.0 Random Massively Parallel Methods for Deep Reinforcement Learning

No-op Starts

Result Algorithm Source
200625.0 IMPALA (deep) IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
127029.0 Rainbow Rainbow: Combining Improvements in Deep Reinforcement Learning
125117.0 PDD DQN Dueling Network Architectures for Deep Reinforcement Learning
89238.0 DDQN A Distributional Perspective on Reinforcement Learning
89238.0 DuDQN Dueling Network Architectures for Deep Reinforcement Learning
82920.0 ACKTR Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
79521.5 Reactor The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
77495 QR-DQN-1 Distributional Reinforcement Learning with Quantile Regression
75867 NoisyNet DuDQN Noisy Networks for Exploration
74677 IQN Implicit Quantile Networks for Distributional Reinforcement Learning
70264 DuDQN Noisy Networks for Exploration
70055 QR-DQN-0 Distributional Reinforcement Learning with Quantile Regression
70038 Reactor The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
69306.5 Distributional DQN Rainbow: Combining Improvements in Deep Reinforcement Learning
69139.0 IMPALA (shallow) IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
65188.0 DDQN Deep Reinforcement Learning with Double Q-learning
57997 DQN Human-level control through deep reinforcement learning
54282.0 DQN A Distributional Perspective on Reinforcement Learning
49156 A3C Noisy Networks for Exploration
49095 C51 A Distributional Perspective on Reinforcement Learning
48942.0 Reactor ND The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
47133 NoisyNet DQN Noisy Networks for Exploration
45008 NoisyNet A3C Noisy Networks for Exploration
40934 DQN Noisy Networks for Exploration
19144.99 Gorila DQN Massively Parallel Methods for Deep Reinforcement Learning
10250.0 Human Dueling Network Architectures for Deep Reinforcement Learning
10250.0 Human Human-level control through deep reinforcement learning
1855.5 IMPALA (deep, multitask) IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
1070 Linear Human-level control through deep reinforcement learning
664.0 Random Human-level control through deep reinforcement learning
9.4 Contingency Human-level control through deep reinforcement learning

Normal Starts

Result Algorithm Source
49817.7 ACER Proximal Policy Optimization Algorithm
32689.0 PPO Proximal Policy Optimization Algorithm
26204.0 A2C Proximal Policy Optimization Algorithm