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
Sorting:
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Mar 9, 2017Updated 8 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Jan 7, 2026Updated last month
- Learning Backtracking Models, ICLR'19☆10Feb 2, 2018Updated 8 years ago
- ☆69May 26, 2018Updated 7 years ago
- RobustStabilityGuaranteeRL☆11Aug 22, 2019Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Sep 7, 2021Updated 4 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14May 1, 2018Updated 7 years ago
- (CoRL 2019 Spotlight) Asynchronous Methods for Model-Based Reinforcement Learning☆14Dec 27, 2022Updated 3 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Jul 23, 2021Updated 4 years ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆20Oct 19, 2025Updated 4 months ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Jun 8, 2018Updated 7 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Apr 28, 2021Updated 4 years ago
- ICRL 2020☆20Feb 18, 2020Updated 6 years ago
- ☆15Oct 20, 2020Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Jul 26, 2019Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Sep 13, 2019Updated 6 years ago
- Regularization Matters in Policy Optimization☆21Nov 1, 2021Updated 4 years ago
- Reinforcement Learning Seminar at the Chinese University of Hong Kong, Shenzhen, China.☆21Nov 17, 2023Updated 2 years ago
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago
- NeurIPS Reproducibility Challenge 2019☆20Feb 25, 2020Updated 6 years ago
- Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning☆57Apr 3, 2018Updated 7 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆473Jul 6, 2023Updated 2 years ago
- ☆99Mar 24, 2023Updated 2 years ago
- ☆160Jul 21, 2017Updated 8 years ago
- Proximal Policy Option-Critic☆26Jan 4, 2019Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Feb 12, 2018Updated 8 years ago
- ☆62Jun 22, 2018Updated 7 years ago
- ☆14Jan 24, 2026Updated last month
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Apr 3, 2019Updated 6 years ago
- ☆26Apr 12, 2018Updated 7 years ago
- Code for the paper "Phasic Policy Gradient"☆267Apr 2, 2023Updated 2 years ago
- Revisiting Rainbow☆76Jun 9, 2021Updated 4 years ago
- ☆27May 17, 2019Updated 6 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Dec 1, 2019Updated 6 years ago
- Implementations of the iLQR algorithm☆33Mar 26, 2017Updated 8 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Feb 21, 2020Updated 6 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Sep 12, 2019Updated 6 years ago
- Open collection of model predictive control (MPC) benchmarking problems☆28Oct 23, 2023Updated 2 years ago
- Soft Actor-Critic with advanced features☆51Jan 4, 2026Updated last month