oxwhirl / opiqLinks
Code for Optimistic Exploration even with a Pessimistic Initialisation
β14Updated 5 years ago
Alternatives and similar repositories for opiq
Users that are interested in opiq are comparing it to the libraries listed below
Sorting:
- π΄ OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)β24Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the β¦β89Updated 4 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemysβ¦β21Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithmβ44Updated 6 years ago
- Proximal Policy Option-Criticβ25Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradientsβ32Updated 5 years ago
- β31Updated 6 years ago
- AGAC: Adversarially Guided Actor-Criticβ48Updated 4 years ago
- π§Ά Minimal PyTorch Soft Actor Critic (SAC) implementationβ39Updated 3 years ago
- A collection of RL algorithms written in JAX.β104Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).β93Updated last year
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1β16Updated 5 years ago
- Revisiting Rainbowβ75Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"β45Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".β64Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"β29Updated 6 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Explorationβ69Updated 4 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020β25Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimationβ25Updated 2 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"β36Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)β69Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimizationβ31Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculationsβ49Updated 3 years ago
- Collection of reinforcement learning algorithmsβ16Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)β102Updated 2 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorchβ20Updated 6 years ago
- Implicit Normalizing Flows + Reinforcement Learningβ61Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimizationβ24Updated 5 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"β100Updated 3 years ago
- β78Updated last year