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 101125 of 382 papers

TitleStatusHype
EVO-RL: Evolutionary-Driven Reinforcement Learning0
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints0
Deep Q Learning from Dynamic Demonstration with Behavioral Cloning0
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment0
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents0
Deep Learning of Koopman Representation for Control0
Adversarial Exploration Strategy for Self-Supervised Imitation Learning0
Affine Transport for Sim-to-Real Domain Adaptation0
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers0
ReaCritic: Large Reasoning Transformer-based DRL Critic-model Scaling For Heterogeneous Networks0
Attention Loss Adjusted Prioritized Experience Replay0
A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning0
Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets0
Benchmarking Algorithms from Machine Learning for Low-Budget Black-Box Optimization0
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning0
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies0
Adversarial Body Shape Search for Legged Robots0
Evolving Neural Networks in Reinforcement Learning by means of UMDAc0
Experience Replay More When It's a Key Transition in Deep Reinforcement Learning0
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization0
Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design0
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning0
gym-saturation: Gymnasium environments for saturation provers (System description)0
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems0
Data Driven Control with Learned Dynamics: Model-Based versus Model-Free Approach0
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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