Contextual Bandits Action Elimination DQN
☆21Jun 25, 2018Updated 8 years ago
Alternatives and similar repositories for CB_AE_DQN
Users that are interested in CB_AE_DQN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Dataset collection and training code for "Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning"☆11Apr 8, 2025Updated last year
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Jun 22, 2021Updated 5 years ago
- ☆12Jul 14, 2022Updated 4 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆24Apr 8, 2024Updated 2 years ago
- ☆26Jan 2, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13May 3, 2018Updated 8 years ago
- ☆11May 27, 2019Updated 7 years ago
- Tensorflow DQN and DRQN agent playing doom☆35May 5, 2017Updated 9 years ago
- Research repo of RL☆23Mar 25, 2023Updated 3 years ago
- [ICML'23] Official PyTorch Implementation of NA2Q, and a comprehensive benchmark based on pymarl☆24Jan 14, 2024Updated 2 years ago
- ☆11Oct 29, 2024Updated last year
- IPyHOP is a Re-entrant Iterative GTPyHOP written in Python 3. PyHOP is an acronym for Python Hierarchical Ordered Planner.☆12Aug 12, 2022Updated 4 years ago
- A PyTorch Implementation of PlaNet: A Deep Planning Network for Reinforcement Learning☆13Aug 31, 2020Updated 6 years ago
- A simple option critic framework using Q-Learning☆14Feb 7, 2022Updated 4 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.
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆64Dec 7, 2022Updated 3 years ago
- ☆85May 29, 2019Updated 7 years ago
- FeedbackQA: Improving Question Answering Post-Deployment with Interactive Feedback☆12Jul 13, 2022Updated 4 years ago
- We propose a new variant GAN model to deal with image generation and transformation,especially in facial attributes area.☆12Nov 16, 2017Updated 8 years ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 5 years ago
- Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers☆25Feb 15, 2023Updated 3 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆38Dec 7, 2020Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆35May 14, 2019Updated 7 years ago
- An implementation of the paper "Solving the Rubik's Cube without Human Knowledge"☆14Dec 9, 2018Updated 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.
- ☆18Feb 20, 2025Updated last year
- Binary Stochastic Neurons in PyTorch☆56Jan 6, 2018Updated 8 years ago
- Code for☆16Oct 16, 2020Updated 5 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆176Mar 1, 2018Updated 8 years ago
- ☆33Jun 14, 2018Updated 8 years ago
- Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"☆11Oct 29, 2019Updated 6 years ago
- Cornell House Agent Learning Environment☆47Jun 22, 2022Updated 4 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆20Jul 15, 2022Updated 4 years ago
- This project contains several Deep Reinforcement Learning method and some experiments basd on OpenAi gym.☆19Jan 28, 2018Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆35Dec 22, 2017Updated 8 years ago
- ☆17Feb 25, 2020Updated 6 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆33Nov 22, 2018Updated 7 years ago
- AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning☆15Jan 21, 2019Updated 7 years ago
- A2C for GVG-AI☆22Nov 7, 2018Updated 7 years ago
- 本项目旨在探索强化学习技术在经典游戏《超级玛丽》中的应用，通过训练一个智能代理来自主导航并完成游戏关卡。我们采用了深度Q网络（DQN）和双深度Q网络（DDQN）等先进的强化学习算法，结合神经网络，使得代理能够学习如何在游戏世界中生存并获得高分。 项目特点 强化学习实践：本…☆17Mar 25, 2026Updated 5 months ago
- minimum viable experiment using evolution strategy to play catch☆21Jan 28, 2018Updated 8 years ago