atavakol / action-hypergraph-networks
(ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
☆21Updated 3 years ago
Alternatives and similar repositories for action-hypergraph-networks:
Users that are interested in action-hypergraph-networks are comparing it to the libraries listed below
- Generalised UDRL☆37Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 2 years ago
- ☆16Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆17Updated 2 years ago
- My Body Is A Cage☆39Updated 3 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Implicit Distributional Actor Critic☆10Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 3 months ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆15Updated 3 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings☆14Updated 2 years ago
- ☆19Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆20Updated 4 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆27Updated 2 years ago
- ☆21Updated 10 months ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- Variational Reinforcement Learning☆16Updated 6 months ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 5 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆22Updated 10 months ago
- Reward Propagation using Graph Convolutional Networks☆13Updated 3 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆32Updated this week
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago