Silvicek / cvar-algorithmsLinks
Risk-Averse Distributional Reinforcement Learning: Code
☆28Updated 6 years ago
Alternatives and similar repositories for cvar-algorithms
Users that are interested in cvar-algorithms are comparing it to the libraries listed below
Sorting:
- Hierarchical Attention in Reinforcement Learning for Stock Order Executions☆30Updated 4 years ago
- Deep Reinforcement Learning for Nash Equilibria☆43Updated 2 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆36Updated last year
- ☆73Updated 5 years ago
- ☆23Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆60Updated 5 years ago
- A library for mean-field games.☆53Updated last month
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- Solving POMDP using Recurrent networks☆90Updated 5 years ago
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆31Updated 2 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆23Updated 4 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 7 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆47Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆58Updated 2 years ago
- Markov Decision Processes, Dynamic Programming and Reinforcement Learning☆289Updated 4 years ago
- Experiments with transformer based RL algorithms☆22Updated 5 years ago
- Code for the paper "Importance Weighted Transfer of Samples in Reinforcement Learning" (ICML 2018).☆16Updated 7 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆13Updated 4 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Updated 4 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 7 months ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Constrained Exploration and Recovery from Experience Shaping☆22Updated 6 years ago
- Approximate dynamic programming for stochastic optimal control in Pytorch☆22Updated last year
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago