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

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Showing 151–200 of 382 papers

TitleStatusHype
Machine Learning aided Crop Yield Optimization—0
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention—0
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial MarketsCode1
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents—0
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations—0
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks—0
Nested Policy Reinforcement Learning for Clinical Decision Support—0
Experience Replay More When It's a Key Transition in Deep Reinforcement Learning—0
Hypothesis Driven Coordinate Ascent for Reinforcement Learning—0
Benchmarking Algorithms from Machine Learning for Low-Budget Black-Box Optimization—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
Untangling Braids with Multi-agent Q-Learning—0
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning AlgorithmsCode1
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic MethodsCode0
CompilerGym: Robust, Performant Compiler Optimization Environments for AI ResearchCode1
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution SystemsCode1
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning—0
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment—0
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge DistillationCode0
Photonic Quantum Policy Learning in OpenAI Gym—0
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents—0
An Independent Study of Reinforcement Learning and Autonomous Driving—0
MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated EnvironmentsCode1
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based ApproachCode0
An Analysis of Reinforcement Learning for Malaria Control—0
Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robotCode1
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body SimulationCode2
Solving Continuous Control with Episodic MemoryCode1
rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot SoccerCode1
Population-coding and Dynamic-neurons improved Spiking Actor Network for Reinforcement Learning—0
Offline Inverse Reinforcement Learning—0
Exploration and preference satisfaction trade-off in reward-free learning—0
Dynamic Sparse Training for Deep Reinforcement LearningCode1
Decision Transformer: Reinforcement Learning via Sequence ModelingCode1
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning—0
Affine Transport for Sim-to-Real Domain Adaptation—0
A Generalised Inverse Reinforcement Learning Framework—0
Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial—0
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with PybulletCode1
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless SystemsCode1
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning—0
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions—0
Implementing Reinforcement Learning Algorithms in Retail Supply Chains with OpenAI Gym Toolkit—0
Reinforcement Learning using Guided Observability—0
CropGym: a Reinforcement Learning Environment for Crop ManagementCode1
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal ControlCode1
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement LearningCode0
Optimism is All You Need: Model-Based Imitation Learning From Observation Alone—0
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement LearningCode1
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter ControlCode2
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All datasetsAnt-v4HalfCheetah-v4Hopper-v4Humanoid-v4Walker2d-v4Ant-v2CartPole-v1HalfCheetah-v2Hopper-v2LunarLander-v2Mountain CarPendulum-v1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MEowAverage Return6,586.33—Unverified
2TD3Average Return5,942.55—Unverified
3SACAverage Return5,208.09—Unverified
4DDPGAverage Return1,712.12—Unverified
5PPOAverage Return608.97—Unverified
#ModelMetricClaimedVerifiedStatus
1SACAverage Return15,836.04—Unverified
2DDPGAverage Return14,934.86—Unverified
3TD3Average Return12,026.73—Unverified
4MEowAverage Return10,981.47—Unverified
5PPOAverage Return6,006.11—Unverified
#ModelMetricClaimedVerifiedStatus
1MEowAverage Return3,332.99—Unverified
2TD3Average Return3,319.98—Unverified
3SACAverage Return2,882.56—Unverified
4DDPGAverage Return1,290.24—Unverified
5PPOAverage Return790.77—Unverified
#ModelMetricClaimedVerifiedStatus
1MEowAverage Return6,923.22—Unverified
2SACAverage Return6,211.5—Unverified
3PPOAverage Return925.89—Unverified
4TD3Average Return198.44—Unverified
5DDPGAverage Return139.14—Unverified
#ModelMetricClaimedVerifiedStatus
1SACAverage Return5,745.27—Unverified
2MEowAverage Return5,526.66—Unverified
3DDPGAverage Return2,994.54—Unverified
4PPOAverage Return2,739.81—Unverified
5TD3Average Return2,612.74—Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward5,163.54—Unverified
2AWRMean Reward5,067—Unverified
#ModelMetricClaimedVerifiedStatus
1Orthogonal decision treeAverage Return500—Unverified
2Oblique decision treeAverage Return500—Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward9,571.99—Unverified
2AWRMean Reward9,136—Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward3,458.22—Unverified
2AWRMean Reward3,405—Unverified
#ModelMetricClaimedVerifiedStatus
1Oblique decision treeAverage Return272.14—Unverified
2AWRAverage Return229—Unverified
#ModelMetricClaimedVerifiedStatus
1Orthogonal decision treeAverage Return-101.72—Unverified
2Oblique decision treeAverage Return-106.02—Unverified
#ModelMetricClaimedVerifiedStatus
1TLA with Hierarchical Reward FunctionsMean Reward-125.02—Unverified
2TLAMean Reward-154.92—Unverified
#ModelMetricClaimedVerifiedStatus
1AWRMean Reward5,813—Unverified
2TLAMean Reward3,878.41—Unverified
#ModelMetricClaimedVerifiedStatus
1AWRAverage Return4,996—Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward9,356.67—Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward1,000—Unverified
#ModelMetricClaimedVerifiedStatus
1TLAMean Reward93.88—Unverified