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 51–75 of 382 papers

Title	Date	Tasks	Status	Hype
On the model-based stochastic value gradient for continuous reinforcement learning	Aug 28, 2020	Continuous ControlHumanoid Control	CodeCode Available	1
OtoWorld: Towards Learning to Separate by Learning to Move	Jul 12, 2020	Audio Source SeparationNavigate	CodeCode Available	1
Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning	Aug 11, 2022	continuous-controlContinuous Control	CodeCode Available	1
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems	Sep 8, 2021	OpenAI Gymreinforcement-learning	CodeCode Available	1
A Benchmark Environment Motivated by Industrial Control Problems	Sep 27, 2017	OpenAI GymReinforcement Learning	CodeCode Available	1
Decision Transformer: Reinforcement Learning via Sequence Modeling	Jun 2, 2021	Atari GamesD4RL	CodeCode Available	1
QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For Reinforcement Learning Algorithms	Feb 14, 2022	OpenAI Gymreinforcement-learning	CodeCode Available	1
Reinforcement Learning for Control of Valves	Dec 29, 2020	OpenAI Gymreinforcement-learning	CodeCode Available	1
RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications	Dec 20, 2023	OpenAI Gymreinforcement-learning	CodeCode Available	1
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware	Jan 7, 2020	OpenAI Gymreinforcement-learning	CodeCode Available	1
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets	Oct 27, 2021	OpenAI GymReinforcement Learning (RL)	CodeCode Available	1
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	Jan 4, 2018	Continuous ControlDecision Making	CodeCode Available	1
CropGym: a Reinforcement Learning Environment for Crop Management	Apr 9, 2021	ManagementOpenAI Gym	CodeCode Available	1
Dynamic Sparse Training for Deep Reinforcement Learning	Jun 8, 2021	continuous-controlContinuous Control	CodeCode Available	1
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym	Dec 6, 2023	BenchmarkingDecision Making	CodeCode Available	1
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research	Sep 17, 2021	Compiler OptimizationOpenAI Gym	CodeCode Available	1
Integrating Deep Reinforcement Learning Networks with Health System Simulations	Jul 21, 2020	Deep Reinforcement LearningOpenAI Gym	CodeCode Available	1
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control	Oct 19, 2020	continuous-controlContinuous Control	CodeCode Available	1
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management	Dec 18, 2020	energy managementManagement	CodeCode Available	1
Design Process is a Reinforcement Learning Problem	Nov 6, 2022	Layout DesignOpenAI Gym	CodeCode Available	1
Addressing Function Approximation Error in Actor-Critic Methods	Feb 26, 2018	Continuous ControlOpenAI Gym	CodeCode Available	1
Continuous control with deep reinforcement learning	Sep 9, 2015	Action Detectioncontinuous-control	CodeCode Available	1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models	Oct 9, 2020	Deep Reinforcement LearningEpidemiology	CodeCode Available	1
Monte Carlo Tree Search for Asymmetric Trees	May 23, 2018	Atari GamesOpenAI Gym	CodeCode Available	1
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning	Mar 9, 2021	Multi-agent Reinforcement LearningOpenAI Gym	CodeCode Available	1

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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