wadx2019 / Neural-BanditLinks
A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Exploration) and neuralTS(Neural Thompson sampling)
☆17Updated 3 years ago
Alternatives and similar repositories for Neural-Bandit
Users that are interested in Neural-Bandit are comparing it to the libraries listed below
Sorting:
- ☆34Updated 4 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆95Updated 3 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆14Updated 3 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆39Updated 4 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆15Updated 10 months ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆87Updated 4 years ago
- Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).☆17Updated 2 years ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆58Updated 2 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆66Updated 4 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆38Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆46Updated 2 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆42Updated 4 years ago
- ☆13Updated 3 years ago
- Towards Better Interpretability in Deep Q-Networks (Codebase)☆9Updated 5 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆151Updated last year
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- ☆20Updated 2 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆31Updated last year
- Simple implementation of the CGP-UCB algorithm.☆36Updated 5 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- ☆86Updated 10 months ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆28Updated 3 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆47Updated 4 years ago