SOTAVerified

OpenAI Gym

An open-source toolkit from OpenAI that implements several Reinforcement Learning benchmarks including: classic control, Atari, Robotics and MuJoCo tasks.

(Description by Evolutionary learning of interpretable decision trees)

(Image Credit: OpenAI Gym)

Papers

Showing 126150 of 382 papers

TitleStatusHype
Reinforcement Learning with Quantum Variational CircuitsCode0
Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPOCode0
A novel DDPG method with prioritized experience replayCode0
Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch SchedulingCode0
Towards Interactive Training of Non-Player Characters in Video GamesCode0
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based ApproachCode0
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic ControlCode0
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement LearningCode0
Investigating the Performance and Reliability, of the Q-Learning Algorithm in Various Unknown EnvironmentsCode0
IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-TuningCode0
Collaborative Deep Reinforcement LearningCode0
Evolutionary learning of interpretable decision treesCode0
Intelligent Trainer for Model-Based Reinforcement LearningCode0
Andes_gym: A Versatile Environment for Deep Reinforcement Learning in Power SystemsCode0
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic MethodsCode0
HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI GymCode0
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement LearningCode0
Decision Mamba ArchitecturesCode0
GRAC: Self-Guided and Self-Regularized Actor-CriticCode0
Generative Adversarial Neuroevolution for Control Behaviour ImitationCode0
Guaranteeing Control Requirements via Reward Shaping in Reinforcement LearningCode0
Adaptively Calibrated Critic Estimates for Deep Reinforcement LearningCode0
GAN Q-learningCode0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and GazeboCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MEowAverage Return6,586.33Unverified
2TD3Average Return5,942.55Unverified
3SACAverage Return5,208.09Unverified
4DDPGAverage Return1,712.12Unverified
5PPOAverage Return608.97Unverified
#ModelMetricClaimedVerifiedStatus
1SACAverage Return15,836.04Unverified
2DDPGAverage Return14,934.86Unverified
3TD3Average Return12,026.73Unverified
4MEowAverage Return10,981.47Unverified
5PPOAverage Return6,006.11Unverified
#ModelMetricClaimedVerifiedStatus
1MEowAverage Return3,332.99Unverified
2TD3Average Return3,319.98Unverified
3SACAverage Return2,882.56Unverified
4DDPGAverage Return1,290.24Unverified
5PPOAverage Return790.77Unverified
#ModelMetricClaimedVerifiedStatus
1MEowAverage Return6,923.22Unverified
2SACAverage Return6,211.5Unverified
3PPOAverage Return925.89Unverified
4TD3Average Return198.44Unverified
5DDPGAverage Return139.14Unverified
#ModelMetricClaimedVerifiedStatus
1SACAverage Return5,745.27Unverified
2MEowAverage Return5,526.66Unverified
3DDPGAverage Return2,994.54Unverified
4PPOAverage Return2,739.81Unverified
5TD3Average Return2,612.74Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward5,163.54Unverified
2AWRMean Reward5,067Unverified
#ModelMetricClaimedVerifiedStatus
1Orthogonal decision treeAverage Return500Unverified
2Oblique decision treeAverage Return500Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward9,571.99Unverified
2AWRMean Reward9,136Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward3,458.22Unverified
2AWRMean Reward3,405Unverified
#ModelMetricClaimedVerifiedStatus
1Oblique decision treeAverage Return272.14Unverified
2AWRAverage Return229Unverified
#ModelMetricClaimedVerifiedStatus
1Orthogonal decision treeAverage Return-101.72Unverified
2Oblique decision treeAverage Return-106.02Unverified
#ModelMetricClaimedVerifiedStatus
1TLA with Hierarchical Reward FunctionsMean Reward-125.02Unverified
2TLAMean Reward-154.92Unverified
#ModelMetricClaimedVerifiedStatus
1AWRMean Reward5,813Unverified
2TLAMean Reward3,878.41Unverified
#ModelMetricClaimedVerifiedStatus
1AWRAverage Return4,996Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward9,356.67Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward1,000Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward93.88Unverified