[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
☆34Feb 1, 2020Updated 6 years ago
Alternatives and similar repositories for SV-RL
Users that are interested in SV-RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Sep 24, 2019Updated 6 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆54May 15, 2019Updated 6 years ago
- ☆12Jan 30, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"☆11Oct 29, 2019Updated 6 years ago
- [ICLR'20] Learning to Learn by Zeroth-Order Oracle☆14Feb 7, 2020Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Feb 21, 2020Updated 6 years ago
- P3O paper code☆30Aug 7, 2019Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Dec 8, 2022Updated 3 years ago
- ☆30Dec 2, 2021Updated 4 years ago
- ☆14Jun 26, 2019Updated 6 years ago
- Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)☆54Jul 7, 2021Updated 4 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Mar 24, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Model-based reinforcement learning (generative simulator models and planning agents)☆16Mar 13, 2026Updated last month
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Feb 17, 2020Updated 6 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Jan 9, 2020Updated 6 years ago
- ☆16Jul 1, 2021Updated 4 years ago
- Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.0979…☆15Mar 9, 2022Updated 4 years ago
- Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"☆12Nov 22, 2022Updated 3 years ago
- Regularization Matters in Policy Optimization☆21Nov 1, 2021Updated 4 years ago
- ☆10Aug 17, 2022Updated 3 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆28Dec 7, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Reinforcement Learning via Latent State Decoding☆29Jun 12, 2023Updated 2 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆39Dec 7, 2021Updated 4 years ago
- Solving Complex Dexterous Manipulation Tasks with Trajectory Optimisation and Reinforcement Learning☆23May 16, 2021Updated 4 years ago
- This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Enc…☆11Sep 2, 2019Updated 6 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Oct 26, 2019Updated 6 years ago
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Nov 28, 2019Updated 6 years ago
- ☆36Aug 10, 2018Updated 7 years ago
- ☆17Mar 13, 2021Updated 5 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Jul 16, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Sep 2, 2024Updated last year
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆85Jul 27, 2022Updated 3 years ago
- ☆31Jul 1, 2019Updated 6 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆56Apr 27, 2020Updated 5 years ago
- ☆18Jul 25, 2024Updated last year
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆18May 14, 2019Updated 6 years ago
- Quantum Tensor Networks for Variational Reinforcement Learning. NeurIPS 2020.☆14Feb 19, 2022Updated 4 years ago