SimonOuellette35 / BayesianRLLinks
Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations
☆29Updated 6 years ago
Alternatives and similar repositories for BayesianRL
Users that are interested in BayesianRL are comparing it to the libraries listed below
Sorting:
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Demo for the application of RL to non-stationary effects☆45Updated 4 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆37Updated 6 years ago
- Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures☆23Updated last year
- Stochastic volatility models☆18Updated 6 years ago
- Feature selection for maximizing expected cumulative reward☆30Updated 7 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- Some implementations from the paper robust risk aware reinforcement learning☆35Updated 3 years ago
- Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis☆58Updated 6 years ago
- Sample-Efficient Automated Deep Reinforcement Learning☆34Updated 4 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 7 years ago
- A DQN agent that optimally hedges an options portfolio.☆24Updated 5 years ago
- ☆17Updated 4 years ago
- A method to search for a subset of best performing items wrt black-box reward function☆12Updated 6 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Risk-Averse Distributional Reinforcement Learning: Code☆28Updated 6 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- A deep reinforcement learning model for portfolio management. For more info, check☆14Updated 5 years ago
- Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.☆15Updated 3 years ago
- Deep RL for portfolio management☆13Updated 6 years ago
- Creating DRL infrastructure for Dynamic Beta with Zipline and Keras☆15Updated 2 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- An advanced course on reinforcement learning offered at Columbia University IEOR in Spring 2018☆62Updated 4 years ago
- JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading☆25Updated last year
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…☆21Updated 5 years ago
- OpenAI's cartpole env solver.☆18Updated 6 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Bayesian Optimization of Risk Measures☆21Updated last year
- RLlib tutorials☆66Updated 3 years ago
- General purpose environment wrappers for openai gym☆26Updated 6 years ago