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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 382 papers

TitleStatusHype
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn—0
HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI GymCode0
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation—0
ReaCritic: Large Reasoning Transformer-based DRL Critic-model Scaling For Heterogeneous Networks—0
Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLMCode0
IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-TuningCode0
Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch SchedulingCode0
Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning—0
Low-cost Real-world Implementation of the Swing-up Pendulum for Deep Reinforcement Learning Experiments—0
Value-Based Deep RL Scales Predictably—0
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All datasetsAnt-v4HalfCheetah-v4Hopper-v4Humanoid-v4Walker2d-v4Ant-v2CartPole-v1HalfCheetah-v2Hopper-v2LunarLander-v2Mountain CarPendulum-v1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SACAverage Return5,745.27—Unverified
2MEowAverage Return5,526.66—Unverified
3DDPGAverage Return2,994.54—Unverified
4PPOAverage Return2,739.81—Unverified
5TD3Average Return2,612.74—Unverified