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 1–50 of 382 papers

TitleStatusHype
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
Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLMCode0
ReaCritic: Large Reasoning Transformer-based DRL Critic-model Scaling For Heterogeneous Networks—0
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
HistoGym: A Reinforcement Learning Environment for Histopathological Image AnalysisCode0
Adaptive Planning with Generative Models under Uncertainty—0
Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms—0
A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning—0
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement LearningCode1
OMPO: A Unified Framework for RL under Policy and Dynamics ShiftsCode1
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing FlowCode1
Traffic control using intelligent timing of traffic lights with reinforcement learning technique and real-time processing of surveillance camera images—0
Decision Mamba ArchitecturesCode0
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory SystemsCode0
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline—0
Airlift Challenge: A Competition for Optimizing Cargo Delivery—0
Enhancing Privacy and Security of Autonomous UAV Navigation—0
HomeLabGym: A real-world testbed for home energy management systems—0
Noisy Spiking Actor Network for Exploration—0
QF-tuner: Breaking Tradition in Reinforcement Learning—0
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic SpacesCode0
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization—0
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research—0
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems—0
Decision Making in Non-Stationary Environments with Policy-Augmented SearchCode0
A Closed-Loop Multi-perspective Visual Servoing Approach with Reinforcement Learning—0
RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio ApplicationsCode1
Investigating the Performance and Reliability, of the Q-Learning Algorithm in Various Unknown EnvironmentsCode0
Peer Learning: Learning Complex Policies in Groups from Scratch via Action RecommendationsCode1
LLF-Bench: Benchmark for Interactive Learning from Language FeedbackCode1
Efficient Parallel Reinforcement Learning Framework using the Reactor ModelCode0
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI GymCode1
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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