rllabmcgill / rlcourse-march-17-hugobbLinks
rlcourse-march-17-hugobb created by GitHub Classroom
☆16Updated last year
Alternatives and similar repositories for rlcourse-march-17-hugobb
Users that are interested in rlcourse-march-17-hugobb are comparing it to the libraries listed below
Sorting:
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 5 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 5 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆73Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- ☆43Updated 8 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- ☆25Updated 6 years ago
- krazy grid world☆25Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆126Updated 6 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 7 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 5 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Ant Gather and Ant Maze envs, separated from RLLab☆11Updated 7 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- ☆118Updated 6 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago