seongun-kim / vcrl
[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
- ☆18Updated last year
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆18Updated 3 months ago
- OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning☆13Updated 2 years ago
- ☆23Updated 10 months ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆23Updated last year
- Source code to reproduce experiments from Mendez et al., ICLR '22☆21Updated 2 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆14Updated 9 months ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆55Updated 2 years ago
- ☆48Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated 3 months ago
- ☆17Updated 11 months ago
- Bipedal Skills Benchmark for Reinforcement Learning☆26Updated 2 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆25Updated last year
- Code for the ICML 2023 paper "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?".☆9Updated last year
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …☆13Updated 8 months ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Official repo for Offline RL for Online RL☆14Updated last year
- Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)☆34Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆69Updated 8 months ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆66Updated 8 months ago
- Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code☆15Updated 6 months ago
- EARL: Environment for Autonomous Reinforcement Learning☆36Updated 2 years ago
- PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).☆28Updated 3 years ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆18Updated 2 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆37Updated last year
- Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"☆19Updated last year
- Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning☆25Updated last year
- ☆21Updated 10 months ago
- ☆22Updated 3 years ago