playing-games-10
OpenAI Gym
3260 papers • 126 benchmarks • 313 datasets
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)
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in openai-gym-10
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LunarLander-v2
LunarLander-v2
CartPole-v1
CartPole-v1
Mountain Car
Mountain Car
Libraries
iUse these libraries to find openai-gym-10 models and implementations
2 papers 403
Datasets
Subtasks
Most implemented papers
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto, D. Meger, H. V. Hoof•Sun Feb 25 2018
This paper builds on Double Q-learning, by taking the minimum value between a pair of critics to limit overestimation, and draws the connection between target networks and overestimation bias.
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