znowu / mirror-learningLinks
The code for experiments conducted to verify the correctness of mirror learning.
☆11Updated 3 years ago
Alternatives and similar repositories for mirror-learning
Users that are interested in mirror-learning are comparing it to the libraries listed below
Sorting:
- ☆19Updated 4 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Updated 3 years ago
- ☆32Updated 4 years ago
- Generalised UDRL☆37Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆15Updated 4 years ago
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆44Updated 4 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆62Updated 6 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆35Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Variational Reinforcement Learning☆17Updated last year
- ☆37Updated 2 years ago
- Mirror Descent Policy Optimization☆42Updated 5 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- Gym wrapper for pysc2☆10Updated 3 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆28Updated last year
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆47Updated 4 years ago
- ☆57Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 4 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- ☆18Updated last year
- Vectorization techniques for fast population-based training.☆57Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 4 years ago
- ☆17Updated 5 years ago
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Updated 2 years ago