ChristosKap / multi_timescale_replay
Code for Continual Reinforcement Learning with Multi-Timescale Replay
☆21Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for multi_timescale_replay
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 3 years ago
- Generalised UDRL☆37Updated 2 years ago
- ☆24Updated 3 months ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆42Updated last year
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆15Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆35Updated 5 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 5 years ago
- Code for generating options for planning and reinforcement learning☆11Updated 3 years ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Updated 2 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆19Updated 3 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆34Updated 2 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆36Updated 2 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- ☆17Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 4 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Dead-ends and Secure Exploration in Reinforcement Learning☆11Updated 5 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆25Updated 4 years ago
- Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)☆37Updated 3 years ago