rahul13ramesh / SuccessorOptionsLinks
Successor Options is an option discovery framework for Reinforcement Learning
☆14Updated last year
Alternatives and similar repositories for SuccessorOptions
Users that are interested in SuccessorOptions are comparing it to the libraries listed below
Sorting:
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 8 months ago
- ☆22Updated last year
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆73Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated 11 months ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 3 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 10 months ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- ☆18Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 3 years ago
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Updated 3 years ago
- ☆26Updated 4 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- ☆29Updated 4 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 9 months ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆19Updated 2 years ago