iwhwang / Fine-Grained-Causal-RL
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning (ICML 2024)
☆11Updated 7 months ago
Alternatives and similar repositories for Fine-Grained-Causal-RL:
Users that are interested in Fine-Grained-Causal-RL are comparing it to the libraries listed below
- ☆27Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆37Updated 2 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆32Updated 2 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆37Updated 3 years ago
- Decision Transformer JAX - Reproduction of 'Decision Transformer: Reinforcement Learning via Sequence Modeling' in JAX and Haiku☆12Updated 5 months ago
- 📎 + 🦾 CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision☆9Updated 2 months ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆53Updated 6 months ago
- Code for the paper "PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning" (NeurIPS 2023)☆16Updated last year
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆41Updated 6 months ago
- A companion for the Causal Artificial Intelligence book.☆11Updated 2 months ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆66Updated 2 years ago
- Code for the paper "Learning Options via Compression" at NeurIPS 2022☆23Updated 2 years ago
- ☆47Updated last year
- Code for Invariant Policy Optimization☆11Updated 4 years ago
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆32Updated last year
- ☆22Updated last year
- COOM: Benchmarking Continual Reinforcement Learning on Doom☆15Updated last month
- ☆86Updated last year
- PyTorch code accompanying the paper "Imitating Graph-Based Planning with Goal-Conditioned Policies" (ICLR 2023).☆19Updated last year
- ☆29Updated 2 years ago
- Pytorch implementation of neural processes and variants☆27Updated 6 months ago
- Code for "Goal-Conditioned Predictive Coding for Offline Reinforcement Learning" (NeurIPS 2023)☆10Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆23Updated last year
- Dual optimization to learn laplacian eigenpairs in arbitrary spaces☆12Updated last month
- ☆12Updated last year
- Latent Dynamics Mixture, NeurIPS 2021☆17Updated 2 years ago
- SelecMix: Debiased Learning by Contradicting-pair Sampling (NeurIPS 2022)☆12Updated 7 months ago
- Clean, extensible implementation of MACAW [ICML 2021]☆13Updated 3 years ago
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆39Updated 9 months ago