BKHMSI / Meta-RL-TwoStep-TaskLinks
PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three papers. Check the ReadMe for more details!
☆36Updated 5 years ago
Alternatives and similar repositories for Meta-RL-TwoStep-Task
Users that are interested in Meta-RL-TwoStep-Task are comparing it to the libraries listed below
Sorting:
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆59Updated 6 years ago
- Reinforcement Learning through Active Inference☆80Updated 5 years ago
- ☆26Updated 5 years ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- Tutorials on learning and using successor representations.☆54Updated 6 years ago
- Deep active inference agents using Monte-Carlo methods☆96Updated 7 months ago
- Models of Sequential Decision-Making☆52Updated last year
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆54Updated 3 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- Deep Successor Representation☆18Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 5 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 7 months ago
- using information theory to encourage agents to cooperate and compete☆19Updated 7 years ago
- Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"☆15Updated 4 years ago
- Code and data for People construct simplified mental representations to plan☆23Updated 2 years ago
- Code for Continual Reinforcement Learning with Multi-Timescale Replay☆24Updated 5 years ago
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Gridworld for MARL experiments☆144Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆145Updated 4 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆198Updated 2 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27Updated 4 years ago
- ☆31Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 10 months ago