sail-sg / optim4rl
Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
☆24Updated 4 months ago
Alternatives and similar repositories for optim4rl:
Users that are interested in optim4rl are comparing it to the libraries listed below
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆21Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆22Updated 11 months ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Generalised UDRL☆37Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆16Updated 3 years ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- ☆29Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Sandbox environment for generalizable agent research☆24Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- My Body Is A Cage☆39Updated 3 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 4 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Variational Reinforcement Learning☆16Updated 8 months ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆16Updated 3 years ago
- ☆32Updated 7 months ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Updated 2 years ago
- ☆28Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆16Updated 3 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago