siemens / industrialbenchmark
Industrial Benchmark
☆124Updated last year
Related projects: ⓘ
- Model-based reinforcement learning in TensorFlow☆53Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 5 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆179Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆158Updated 4 years ago
- ☆187Updated last year
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆65Updated 4 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆92Updated 2 years ago
- ☆72Updated last year
- ☆95Updated last year
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆15Updated 4 years ago
- Sample-Efficient Automated Deep Reinforcement Learning☆34Updated 3 years ago
- ☆68Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆98Updated 3 years ago
- ☆90Updated 9 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆169Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆119Updated 3 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆28Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆47Updated 2 years ago
- Solving POMDP using Recurrent networks☆80Updated 4 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆160Updated last year
- A library of probabilistic model based RL algorithms in pytorch☆106Updated 3 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆29Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆52Updated 4 years ago
- Deep Variational Reinforcement Learning☆132Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 3 years ago
- Model-Based Offline Reinforcement Learning☆47Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆150Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆48Updated last year