bit1029public / HRSSMLinks
Pytorch Implementation of Learning Latent Dynamic Robust Representations for World Models
☆24Updated last year
Alternatives and similar repositories for HRSSM
Users that are interested in HRSSM are comparing it to the libraries listed below
Sorting:
- Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344☆49Updated last year
- ☆60Updated last month
- ☆24Updated last year
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆27Updated 2 years ago
- ☆29Updated 2 years ago
- BeCL: Behavior Contrastive Learning for Unsupervised Skill Discovery.☆21Updated 2 years ago
- Official PyTorch implementation of "ACE:Off-Policy Actor-Critic with Causality-Aware Entropy Regularization"☆35Updated last year
- ☆37Updated 2 years ago
- PWM: Policy Learning with Large World Models☆66Updated 5 months ago
- ☆63Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆92Updated last year
- ☆25Updated last year
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆36Updated 2 years ago
- [NeurIPS 2023] Implementation of Elastic Decision Transformer☆38Updated 2 years ago
- Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets☆27Updated last year
- [NeurIPS 2023] Efficient Diffusion Policy☆113Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 6 months ago
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆16Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆113Updated last year
- Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24☆26Updated last year
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆73Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆28Updated 2 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆40Updated last year
- Resilient Model-Based RL by Regularizing Posterior Predictability☆22Updated last year
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆81Updated last year
- Synthetic Experience Replay☆107Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆33Updated 2 years ago
- Transformer-based World Models☆87Updated 2 years ago
- ☆59Updated 2 years ago