oxwhirl / opiq
Code for Optimistic Exploration even with a Pessimistic Initialisation
☆14Updated 4 years ago
Alternatives and similar repositories for opiq:
Users that are interested in opiq are comparing it to the libraries listed below
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- ☆31Updated 5 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Proximal Policy Option-Critic☆22Updated 6 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
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- ☆74Updated 9 months ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Code for generating options for planning and reinforcement learning☆11Updated 4 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Collection of reinforcement learning algorithms☆15Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated last year
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- ☆18Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆29Updated 4 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆53Updated 4 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 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
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year