on-policy optimization baselines for deep reinforcement learning
☆32Apr 3, 2020Updated 6 years ago
Alternatives and similar repositories for onpolicybaselines
Users that are interested in onpolicybaselines are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"☆12Jul 12, 2021Updated 4 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Oct 3, 2023Updated 2 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆79Aug 13, 2020Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Sep 7, 2021Updated 4 years ago
- Regularization Matters in Policy Optimization☆21Nov 1, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆31Jul 1, 2019Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Feb 12, 2018Updated 8 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Apr 7, 2021Updated 5 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆62May 31, 2019Updated 7 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- Deep Structured Energy Based Model☆11Jan 6, 2018Updated 8 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Mar 9, 2021Updated 5 years ago
- Model-Free-Episodic-Control implementation.☆17Jun 3, 2019Updated 7 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Jun 23, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆24Nov 29, 2018Updated 7 years ago
- ☆22Nov 8, 2021Updated 4 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132May 5, 2019Updated 7 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆22Aug 4, 2022Updated 3 years ago
- The implementation of Discriminator Soft Actor Critic☆15Jan 25, 2020Updated 6 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Aug 4, 2020Updated 5 years ago
- [deprecated] Engine Agnostic Gym Environment for Robotics☆17Feb 10, 2022Updated 4 years ago
- Stein Variational Policy Gradient for REINFORCE☆18Jul 12, 2017Updated 8 years ago
- Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24☆27Aug 28, 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.
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆47Sep 20, 2023Updated 2 years ago
- NOMU: Neural Optimization-based Model Uncertainty☆10Feb 17, 2023Updated 3 years ago
- More efficient exploration for reinforcement learning in two-player, zero-sum game☆21Jul 30, 2024Updated last year
- ☆25Feb 21, 2022Updated 4 years ago
- ☆162Jul 21, 2017Updated 8 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Jan 9, 2020Updated 6 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆21Dec 16, 2018Updated 7 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆19Jun 8, 2021Updated 5 years ago
- Mirror Descent Policy Optimization☆42Oct 31, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- PyTorch Implementation of Soft Actor-Critic Algorithm☆12Sep 13, 2020Updated 5 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Feb 9, 2021Updated 5 years ago
- Symbolic Modelling of Highway Traffic Networks with METANET☆12May 27, 2025Updated last year
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Jul 16, 2024Updated last year
- Surprise-based intrinsic motivation for deep reinforcement learning☆21Mar 6, 2017Updated 9 years ago
- ☆25Oct 28, 2020Updated 5 years ago
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆25Oct 26, 2021Updated 4 years ago