PKU-RL / PTGMLinks
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
☆27Updated last year
Alternatives and similar repositories for PTGM
Users that are interested in PTGM are comparing it to the libraries listed below
Sorting:
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated 2 years ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆70Updated last year
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆78Updated last year
- My Body Is A Cage☆41Updated 4 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Updated 4 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆85Updated 6 months ago
- PWM: Policy Learning with Large World Models☆52Updated 4 months ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆58Updated 8 months ago
- ☆33Updated 2 weeks ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆30Updated last year
- ☆23Updated last year
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆26Updated 3 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆35Updated last year
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆44Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated 10 months ago
- ☆48Updated 7 months ago
- Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)☆33Updated last year
- Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3☆31Updated last year
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆26Updated 2 years ago
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆44Updated last year
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆26Updated last year
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆39Updated last year
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆55Updated 11 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆88Updated last year
- Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets☆26Updated last year
- Official release of CompoSuite, a compositional RL benchmark☆49Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆22Updated 7 months ago