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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 276–300 of 382 papers

Title	Date	Tasks	Status	Hype
PDDLGym: Gym Environments from PDDL Problems	Feb 15, 2020	Decision MakingOpenAI Gym	CodeCode Available	1
Discrete Action On-Policy Learning with Action-Value Critic	Feb 10, 2020	OpenAI GymReinforcement Learning	CodeCode Available	0
Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO	Jan 15, 2020	OpenAI Gymreinforcement-learning	CodeCode Available	0
Sample-based Distributional Policy Gradient	Jan 8, 2020	Distributional Reinforcement LearningOpenAI Gym	—Unverified	0
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware	Jan 7, 2020	OpenAI Gymreinforcement-learning	CodeCode Available	1
Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning	Jan 1, 2020	Deep Reinforcement LearningOpenAI Gym	—Unverified	0
Way Off-Policy Batch Deep Reinforcement Learning of Human Preferences in Dialog	Jan 1, 2020	Deep Reinforcement LearningOpenAI Gym	—Unverified	0
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning	Dec 28, 2019	Atari GamesDeep Reinforcement Learning	CodeCode Available	0
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning	Dec 18, 2019	Collision Avoidancecontinuous-control	—Unverified	0
Sepsis World Model: A MIMIC-based OpenAI Gym "World Model" Simulator for Sepsis Treatment	Dec 15, 2019	modelOpenAI Gym	—Unverified	0
The PlayStation Reinforcement Learning Environment (PSXLE)	Dec 12, 2019	OpenAI Gymreinforcement-learning	CodeCode Available	0
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning	Nov 28, 2019	OpenAI Gymreinforcement-learning	CodeCode Available	0
Accelerating Reinforcement Learning with Suboptimal Guidance	Nov 21, 2019	OpenAI Gymreinforcement-learning	—Unverified	0
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning	Nov 5, 2019	OpenAI Gymreinforcement-learning	CodeCode Available	0
Challenging On Car Racing Problem from OpenAI gym	Nov 2, 2019	Car Racingcontinuous-control	—Unverified	0
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control	Oct 21, 2019	Model Predictive ControlOpenAI Gym	CodeCode Available	0
Zap Q-Learning With Nonlinear Function Approximation	Oct 11, 2019	OpenAI GymQ-Learning	—Unverified	0
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions	Oct 9, 2019	Network Congestion ControlOpenAI Gym	CodeCode Available	0
TorchBeast: A PyTorch Platform for Distributed RL	Oct 8, 2019	OpenAI GymReinforcement Learning	CodeCode Available	0
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning	Oct 1, 2019	continuous-controlContinuous Control	CodeCode Available	1
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning	Sep 27, 2019	CPUDeep Reinforcement Learning	—Unverified	0
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control	Sep 26, 2019	continuous-controlContinuous Control	CodeCode Available	0
Advantage Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning	Sep 25, 2019	continuous-controlContinuous Control	—Unverified	0
Self-Supervised State-Control through Intrinsic Mutual Information Rewards	Sep 25, 2019	OpenAI Gymreinforcement-learning	CodeCode Available	0
MoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees	Sep 25, 2019	Deep Reinforcement LearningGame of Go	—Unverified	0

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All datasets Ant-v4 HalfCheetah-v4 Hopper-v4 Humanoid-v4 Walker2d-v4 Ant-v2 CartPole-v1 HalfCheetah-v2 Hopper-v2 LunarLander-v2 Mountain Car Pendulum-v1

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MEow	Average Return	6,586.33	—	Unverified
2	TD3	Average Return	5,942.55	—	Unverified
3	SAC	Average Return	5,208.09	—	Unverified
4	DDPG	Average Return	1,712.12	—	Unverified
5	PPO	Average Return	608.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAC	Average Return	15,836.04	—	Unverified
2	DDPG	Average Return	14,934.86	—	Unverified
3	TD3	Average Return	12,026.73	—	Unverified
4	MEow	Average Return	10,981.47	—	Unverified
5	PPO	Average Return	6,006.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MEow	Average Return	3,332.99	—	Unverified
2	TD3	Average Return	3,319.98	—	Unverified
3	SAC	Average Return	2,882.56	—	Unverified
4	DDPG	Average Return	1,290.24	—	Unverified
5	PPO	Average Return	790.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MEow	Average Return	6,923.22	—	Unverified
2	SAC	Average Return	6,211.5	—	Unverified
3	PPO	Average Return	925.89	—	Unverified
4	TD3	Average Return	198.44	—	Unverified
5	DDPG	Average Return	139.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAC	Average Return	5,745.27	—	Unverified
2	MEow	Average Return	5,526.66	—	Unverified
3	DDPG	Average Return	2,994.54	—	Unverified
4	PPO	Average Return	2,739.81	—	Unverified
5	TD3	Average Return	2,612.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLA	Mean Reward	5,163.54	—	Unverified
2	AWR	Mean Reward	5,067	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Orthogonal decision tree	Average Return	500	—	Unverified
2	Oblique decision tree	Average Return	500	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLA	Mean Reward	9,571.99	—	Unverified
2	AWR	Mean Reward	9,136	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLA	Mean Reward	3,458.22	—	Unverified
2	AWR	Mean Reward	3,405	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Oblique decision tree	Average Return	272.14	—	Unverified
2	AWR	Average Return	229	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Orthogonal decision tree	Average Return	-101.72	—	Unverified
2	Oblique decision tree	Average Return	-106.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLA with Hierarchical Reward Functions	Mean Reward	-125.02	—	Unverified
2	TLA	Mean Reward	-154.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AWR	Mean Reward	5,813	—	Unverified
2	TLA	Mean Reward	3,878.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AWR	Average Return	4,996	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLA	Mean Reward	9,356.67	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLA	Mean Reward	1,000	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLA	Mean Reward	93.88	—	Unverified