Releases: takuseno/d3rlpy
Releases · takuseno/d3rlpy
Release version v0.2
- support model-based algorithm
- Model-based Offline Policy Optimization
- support data augmentation (for image observation)
- Data-reguralized Q-learning
- a lot of improvements
- more dataset statistics
- more options to customize neural network architecture
- optimize default learning rates
- etc
First release!
- online algorithms
- Deep Q-Network (DQN)
- Double DQN
- Deep Deterministic Policy Gradients (DDPG)
- Twin Delayed Deep Deterministic Policy Gradients (TD3)
- Soft Actor-Critic (SAC)
- data-driven algorithms
- Batch-Constrained Q-leearning (BCQ)
- Bootstrapping Error Accumulation Reduction (BEAR)
- Conservative Q-Learning (CQL)
- Q functions
- mean
- Quantile Regression
- Implicit Quantile Network
- Fully-parametrized Quantile Function (experimental)