IndustAI / risk-and-uncertaintyLinks
Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"
☆11Updated 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:
- Deep Reinforcement Learning for Multi Agent Soccer☆16Updated 8 years ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆12Updated last year
- Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow☆15Updated 6 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 6 years ago
- ☆11Updated 5 years ago
- Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment☆11Updated 7 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
- This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…☆18Updated 5 years ago
- Resilient Multi-Agent Reinforcement Learning☆10Updated 2 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- ☆11Updated 10 months ago
- ☆12Updated 4 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 8 years ago
- Code for Continual Reinforcement Learning with Multi-Timescale Replay☆23Updated 5 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆51Updated 4 years ago
- Pytorch implementation of AREL☆15Updated 3 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Updated 2 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆25Updated 2 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- ☆20Updated 2 years ago
- research and implementations of Deep RL agents and their applications☆59Updated 2 months ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆31Updated 7 years ago
- Multi-objective reinforcement learning for covid-19 control☆12Updated 4 years ago
- Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021☆13Updated 3 years ago
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆16Updated 4 years ago
- Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers☆24Updated 2 years ago