microsoft / logrl
Logarithmic Reinforcement Learning
☆26Updated last year
Related projects ⓘ
Alternatives and complementary repositories for logrl
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- ☆71Updated 5 months ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆31Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆54Updated 5 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆66Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Reinforcement Learning via Latent State Decoding☆30Updated last year
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- Efficient Exploration via State Marginal Matching (2019)☆66Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆35Updated 6 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 3 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 3 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆18Updated 5 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆70Updated 7 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆60Updated 5 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 4 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 3 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago