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:
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆37Updated 2 years ago
- Deep Reinforcement Learning for Nash Equilibria☆44Updated 2 years ago
- Hierarchical Attention in Reinforcement Learning for Stock Order Executions☆31Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆60Updated 5 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Markov Decision Processes, Dynamic Programming and Reinforcement Learning☆292Updated 4 years ago
- Solving POMDP using Recurrent networks☆91Updated 5 years ago
- ☆74Updated 5 years ago
- A library for mean-field games.☆54Updated last week
- ☆26Updated last year
- Factored model-based Bayesian Reinforcement Learning framework☆22Updated 2 years ago
- Experiments with transformer based RL algorithms☆22Updated 5 years ago
- Safe Reinforcement Learning algorithms☆75Updated 3 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated last year
- Distributional Soft Actor Critic☆58Updated 5 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆14Updated 4 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆145Updated 2 years ago
- Approximate dynamic programming for stochastic optimal control in Pytorch☆23Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆61Updated 2 years ago
- Approximate Dynamic Programming for Portfolio Selection Problem☆56Updated 2 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆29Updated 4 months ago
- Constrained Exploration and Recovery from Experience Shaping☆22Updated 6 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆88Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆49Updated last year