StanfordVL / causal_induction
Codebase for "Causal Induction from Visual Observations for Goal-Directed Tasks"
☆12Updated 5 years ago
Alternatives and similar repositories for causal_induction:
Users that are interested in causal_induction are comparing it to the libraries listed below
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- ☆12Updated 2 years ago
- VIME: Variational Information Maximizing Exploration☆9Updated 5 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆40Updated 3 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 2 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 5 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆29Updated 5 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 4 years ago
- ☆18Updated 4 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆32Updated 2 years ago
- ☆32Updated 8 months ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 3 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆32Updated 4 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- ☆28Updated 4 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated 9 months ago
- Generalised UDRL☆37Updated 2 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆17Updated 2 years ago
- ☆21Updated last year
- ☆15Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago