Reward Estimation for Variance Reduction in Deep Reinforcement Learning
☆22Oct 26, 2018Updated 7 years ago
Alternatives and similar repositories for reward-estimator-corl
Users that are interested in reward-estimator-corl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆10May 8, 2018Updated 8 years ago
- An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods - EWRL Workshop 2018☆15Oct 28, 2018Updated 7 years ago
- Separating value functions across time-scales.☆17May 13, 2019Updated 6 years ago
- Natural Environment Benchmarks for Reinforcement Learning☆23May 9, 2019Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Jan 16, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Decoupling Dynamics and Reward for Transfer Learning☆16Sep 7, 2018Updated 7 years ago
- Low-shot learning with large-scale diffusion☆47Jan 25, 2019Updated 7 years ago
- Models for the Collaborative Drawing (CoDraw) task☆13Jan 15, 2019Updated 7 years ago
- BISON: Binary Image SelectiON☆49Sep 15, 2021Updated 4 years ago
- Code for Emergent Translation in Multi-Agent Communication☆81Jun 6, 2018Updated 7 years ago
- Model Mistakes - Generate, Filter, & Rank: Grammaticality Classification for Production-Ready NLG Systems☆14Apr 9, 2019Updated 7 years ago
- TargetProp for RNNs☆27Mar 22, 2019Updated 7 years ago
- How should we evaluate supervised hashing☆28Oct 11, 2018Updated 7 years ago
- Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.☆11Jun 12, 2019Updated 6 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.
- Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.☆20Apr 3, 2018Updated 8 years ago
- Repository for code experimenting with RL and Solar Tracking☆13Apr 24, 2018Updated 8 years ago
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Aug 2, 2018Updated 7 years ago
- Low-level autonomous control and tracking of quadrotor using reinforcement learning - Proximal Policy Optimization☆11Dec 2, 2020Updated 5 years ago
- A Sim2Real Benchmarking Framework for Crazyflie Drones☆20Mar 4, 2026Updated 2 months ago
- On the pitfalls of measuring emergent communication☆34Mar 12, 2019Updated 7 years ago
- Keras implementation of guide actor-critic for continuous control☆11Mar 12, 2018Updated 8 years ago
- A minimal Unreal Engine project for developing and testing UnrealCV☆17Nov 8, 2018Updated 7 years ago
- 使用DDPG算法解决rlschool中无人机悬停控制的问题(内含训练了9个小时的良模型)☆10Jul 7, 2020Updated 5 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.
- Visual Coreference Resolution in Visual Dialog using Neural Module Networks☆57Oct 12, 2021Updated 4 years ago
- First-Order Adversarial Vulnerability of Neural Networks and Input Dimension☆15Sep 4, 2019Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆30May 24, 2018Updated 7 years ago
- Bayesian Regression Models using pymc3☆11Feb 4, 2017Updated 9 years ago
- This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…☆18Dec 5, 2024Updated last year
- Analyzing Uncertainty in Neural Machine Translation☆35Sep 15, 2021Updated 4 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Aug 4, 2020Updated 5 years ago
- Website for TextVQA dataset.☆29Apr 30, 2023Updated 3 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Sep 13, 2019Updated 6 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.
- An open source reinforcement learning codebase with a variety of intrinsic exploration methods implemented in PyTorch.☆11Feb 6, 2023Updated 3 years ago
- Multi-Target Embodied Question Answering☆26Jul 17, 2020Updated 5 years ago
- ICRL 2020☆20Feb 18, 2020Updated 6 years ago
- Predicting Deeper into the Future of Semantic Segmentation☆78Aug 31, 2021Updated 4 years ago
- Code for the Reset-free Trial and Error learning paper (RTE) experiments☆10Jan 3, 2018Updated 8 years ago
- Unsupervised instance segmentation via active robot interaction☆76Jul 1, 2022Updated 3 years ago
- Learning Backtracking Models, ICLR'19☆10Feb 2, 2018Updated 8 years ago