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 51–100 of 382 papers

TitleStatusHype
ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging ResearchCode1
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and AlgorithmsCode1
NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing TasksCode1
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and BenchmarkingCode1
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object ManipulationCode1
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization SolversCode1
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous ControlCode1
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function ApproximatorCode1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological ModelsCode1
On the model-based stochastic value gradient for continuous reinforcement learningCode1
Integrating Deep Reinforcement Learning Networks with Health System SimulationsCode1
Implicit Distributional Reinforcement LearningCode1
OtoWorld: Towards Learning to Separate by Learning to MoveCode1
Experience Replay with Likelihood-free Importance WeightsCode1
Reinforcement Learning with Augmented DataCode1
Neural Game Engine: Accurate learning of generalizable forward models from pixelsCode1
State-only Imitation with Transition Dynamics MismatchCode1
PDDLGym: Gym Environments from PDDL ProblemsCode1
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on HardwareCode1
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement LearningCode1
MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement LearningCode1
Maximum Entropy-Regularized Multi-Goal Reinforcement LearningCode1
Monte Carlo Tree Search for Asymmetric TreesCode1
Addressing Function Approximation Error in Actor-Critic MethodsCode1
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic ActorCode1
A Benchmark Environment Motivated by Industrial Control ProblemsCode1
Continuous control with deep reinforcement learningCode1
Deep Recurrent Q-Learning for Partially Observable MDPsCode1
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn—0
HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI GymCode0
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation—0
ReaCritic: Large Reasoning Transformer-based DRL Critic-model Scaling For Heterogeneous Networks—0
Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLMCode0
IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-TuningCode0
Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch SchedulingCode0
Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning—0
Low-cost Real-world Implementation of the Swing-up Pendulum for Deep Reinforcement Learning Experiments—0
Value-Based Deep RL Scales Predictably—0
Illuminating Spaces: Deep Reinforcement Learning and Laser-Wall Partitioning for Architectural Layout Generation—0
Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning—0
Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations—0
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning—0
A quantum-classical reinforcement learning model to play Atari gamesCode0
Optimizing Sensor Redundancy in Sequential Decision-Making Problems—0
Creating Hierarchical Dispositions of Needs in an AgentCode0
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications—0
Asymptotic Analysis of Sample-averaged Q-learning—0
The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability—0
MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety—0
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement LearningCode0
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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