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 151175 of 382 papers

TitleStatusHype
Machine Learning aided Crop Yield Optimization0
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention0
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 Agents0
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations0
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks0
Nested Policy Reinforcement Learning for Clinical Decision Support0
Experience Replay More When It's a Key Transition in Deep Reinforcement Learning0
Hypothesis Driven Coordinate Ascent for Reinforcement Learning0
Benchmarking Algorithms from Machine Learning for Low-Budget Black-Box Optimization0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games0
Untangling Braids with Multi-agent Q-Learning0
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 Learning0
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment0
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge DistillationCode0
Photonic Quantum Policy Learning in OpenAI Gym0
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents0
An Independent Study of Reinforcement Learning and Autonomous Driving0
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 Control0
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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