PeideHuang / gradient
Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
☆10Updated last year
Alternatives and similar repositories for gradient:
Users that are interested in gradient are comparing it to the libraries listed below
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆17Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated last year
- ☆23Updated 11 months ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- ☆28Updated 4 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 2 years ago
- Source code to reproduce experiments from Mendez et al., ICLR '22☆21Updated 2 years ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆26Updated 3 years ago
- ☆32Updated 8 months ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- ☆11Updated last year
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆16Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Code for the ICML 2023 paper "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?".☆9Updated last year
- ☆35Updated 2 years ago
- POPGym Library in JAX☆11Updated last year
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆25Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- Image-based gridworld experiment for learning Markov state abstractions☆19Updated 7 months ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆32Updated 4 years ago
- ☆15Updated 4 years ago
- ☆15Updated last year
- ☆14Updated this week
- ☆16Updated 2 years ago
- ☆26Updated 2 years ago