siemens / industrialbenchmarkLinks
Industrial Benchmark
☆131Updated 2 years ago
Alternatives and similar repositories for industrialbenchmark
Users that are interested in industrialbenchmark are comparing it to the libraries listed below
Sorting:
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆192Updated 2 years ago
- ☆72Updated 6 years ago
- ☆99Updated 2 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆165Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆127Updated 4 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- ☆71Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆215Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆102Updated 3 years ago
- Model-based Reinforcement Learning Framework☆114Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆88Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆182Updated 3 years ago
- ☆199Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆56Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Partially Observable Process Gym☆196Updated last month
- Revisiting Rainbow☆75Updated 4 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 3 weeks ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago