Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
☆25Jan 15, 2022Updated 4 years ago
Alternatives and similar repositories for stochastic_value_gradient
Users that are interested in stochastic_value_gradient are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Mar 6, 2026Updated last month
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Mar 9, 2017Updated 9 years ago
- ☆69May 26, 2018Updated 7 years ago
- Learning Backtracking Models, ICLR'19☆10Feb 2, 2018Updated 8 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Sep 7, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- RobustStabilityGuaranteeRL☆11Aug 22, 2019Updated 6 years ago
- Industrial Benchmark☆142Mar 5, 2026Updated last month
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Jul 23, 2021Updated 4 years ago
- Reinforcement Leanring Algorithms Trained with Unity☆13Apr 26, 2019Updated 6 years ago
- (CoRL 2019 Spotlight) Asynchronous Methods for Model-Based Reinforcement Learning☆14Dec 27, 2022Updated 3 years ago
- 现在好用的能同步的网盘都没有了,于是自己用阿里云的OSS撸了一个☆10Apr 22, 2018Updated 7 years ago
- ☆10Apr 18, 2017Updated 8 years ago
- Official Project Webpage for paper "DiffSRL: Learning Dynamic-aware State Representation for Control via Differentiable Simulation"☆12Apr 4, 2022Updated 4 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Apr 28, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆15Oct 20, 2020Updated 5 years ago
- Open AI gym environment for the Baxter robot☆14Oct 6, 2016Updated 9 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Sep 13, 2019Updated 6 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14May 1, 2018Updated 7 years ago
- ICRL 2020☆20Feb 18, 2020Updated 6 years ago
- a library for deep reinforcement learning, with applications for navigation☆16Feb 6, 2018Updated 8 years ago
- My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.☆12Apr 28, 2020Updated 5 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆471Jul 6, 2023Updated 2 years ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆21Oct 19, 2025Updated 5 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Jul 26, 2019Updated 6 years ago
- Reinforcement Learning Seminar at the Chinese University of Hong Kong, Shenzhen, China.☆21Nov 17, 2023Updated 2 years ago
- KERL: reinforcement learning algorithms and tools implemented using Keras☆11Aug 2, 2024Updated last year
- Spectral Method for Multiple Experts Inverse Reinforcement Learning☆14Sep 6, 2014Updated 11 years ago
- Implementation of the paper "Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models"☆24Sep 7, 2018Updated 7 years ago
- Regularization Matters in Policy Optimization☆21Nov 1, 2021Updated 4 years ago
- ☆24Jan 3, 2025Updated last year
- Reinforcement Learning with Deep Energy-Based Policies☆437Nov 28, 2023Updated 2 years ago
- LSTM_MPC(reactive distillation system)☆11Jul 21, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning☆29Jun 12, 2018Updated 7 years ago
- ☆99Mar 24, 2023Updated 3 years ago
- ☆10May 6, 2018Updated 7 years ago
- Simple change of a3c to a2c☆15Jun 18, 2017Updated 8 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Dec 13, 2018Updated 7 years ago
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago