uncharted-technologies / risk-and-uncertaintyLinks
Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"
☆30Updated 2 years ago
Alternatives and similar repositories for risk-and-uncertainty
Users that are interested in risk-and-uncertainty are comparing it to the libraries listed below
Sorting:
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 months ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆67Updated last year
- ☆26Updated 2 years ago
- ☆54Updated last year
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- ☆32Updated last year
- ☆35Updated 4 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated 11 months ago
- ☆36Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 3 months ago
- Toolkit of Causal Model-based Reinforcement Learning.☆32Updated 2 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- ☆23Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- ☆99Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆34Updated 2 years ago
- Advantage weighted Actor Critic for Offline RL☆50Updated 3 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 5 years ago
- My Body Is A Cage☆41Updated 4 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 5 years ago