Mehooz / BIRD_code
Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".
☆14Updated 3 years ago
Alternatives and similar repositories for BIRD_code:
Users that are interested in BIRD_code are comparing it to the libraries listed below
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆25Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆15Updated 3 years ago
- My Body Is A Cage☆38Updated 3 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆17Updated 2 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆38Updated 2 months ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)☆20Updated 3 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆31Updated 3 years ago
- ☆12Updated 2 years ago
- Image-based gridworld experiment for learning Markov state abstractions☆19Updated 4 months ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆32Updated 4 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated last year
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆30Updated last year
- ☆14Updated 2 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆14Updated 2 years ago
- Change-Based Exploration Transfer☆36Updated 2 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- ☆10Updated 2 years ago
- ☆39Updated 3 years ago
- ☆34Updated 2 years ago
- ☆18Updated 2 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆23Updated last year
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆17Updated 2 years ago
- ☆15Updated last year