seongun-kim / vcrlLinks
[ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
☆12Updated last year
Alternatives and similar repositories for vcrl
Users that are interested in vcrl are comparing it to the libraries listed below
Sorting:
- Official repo for Offline RL for Online RL☆17Updated last year
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆22Updated 7 months ago
- ☆18Updated 2 years ago
- OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning☆14Updated 3 months ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆18Updated last year
- ☆17Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated 2 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆22Updated 7 months ago
- ☆24Updated last year
- Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"☆20Updated 2 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆26Updated last year
- Implementation of SAC and TD3 based on various RNN and Transformer.☆22Updated 8 months ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 11 months ago
- Code for the ICML 2023 paper "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?".☆9Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆85Updated 6 months ago
- Source code to reproduce experiments from Mendez et al., ICLR '22☆21Updated 2 years ago
- ☆22Updated last year
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 4 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆35Updated last year
- [NeurIPS 2023] Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans☆21Updated last year
- Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code☆17Updated 10 months ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆31Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆48Updated last year
- ☆11Updated 2 years ago
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …☆16Updated last year
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆30Updated last year
- Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning☆27Updated last year
- ☆21Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago