Metaworld Alternatives
Similar projects and alternatives to metaworld based on common topics and language
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multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
metaworld reviews and mentions
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Are there any follow-up studies of RL^2 algorithms?
Hi r/reinforcementlearning! I recently started to be interested in meta-reinforcement learning, and I am particularly interested in models using recurrent neural networks such as RL2. But after few search I found that most of the recent approach for meta-reinforcement learning is based on MARL method, Although RL2 performed very well in meta rl benchmark paper, meta-world. And it was hard to find follow-up research of RL2 at the same time. Does anyone knows about follow-up researches of RL2?
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[D] Creating benchmarks for reinforcement learning
How long does it take to write a benchmark for RL like meta-world (https://github.com/rlworkgroup/metaworld) or multiagent emergence environments (https://github.com/openai/multi-agent-emergence-environments)?
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rlworkgroup/metaworld is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of metaworld is Python.
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