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OpenAI Gym
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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)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Decision Mamba Architectures
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline
Enhancing Privacy and Security of Autonomous UAV Navigation
Airlift Challenge: A Competition for Optimizing Cargo Delivery
HomeLabGym: A real-world testbed for home energy management systems
Noisy Spiking Actor Network for Exploration
QF-tuner: Breaking Tradition in Reinforcement Learning
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems
Decision Making in Non-Stationary Environments with Policy-Augmented Search
A Closed-Loop Multi-perspective Visual Servoing Approach with Reinforcement Learning
RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications
Investigating the Performance and Reliability, of the Q-Learning Algorithm in Various Unknown Environments
Solving the swing-up and balance task for the Acrobot and Pendubot with SAC
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Efficient Parallel Reinforcement Learning Framework using the Reactor Model
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
Bridging Dimensions: Confident Reachability for High-Dimensional Controllers
Repairing Learning-Enabled Controllers While Preserving What Works
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym
Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques
gym-saturation: Gymnasium environments for saturation provers (System description)
Attention Loss Adjusted Prioritized Experience Replay
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning
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