rahul13ramesh / SuccessorOptions
Successor Options is an option discovery framework for Reinforcement Learning
☆12Updated 9 months ago
Alternatives and similar repositories for SuccessorOptions:
Users that are interested in SuccessorOptions are comparing it to the libraries listed below
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆53Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- ☆21Updated 11 months ago
- Code for generating options for planning and reinforcement learning☆11Updated 4 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- ☆25Updated 4 years ago
- ☆74Updated 9 months ago
- Code for Sibling Rivalry and experiments presented in associated paper☆17Updated 3 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆18Updated 2 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 6 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- ☆29Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆22Updated 11 months ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆34Updated 2 weeks ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- PyTorch implementation of Count-Based Exploration with Neural Density Models☆10Updated 7 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆70Updated last year
- MBRL library in JAX☆10Updated 2 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago