rlai-lab / Regularized-GradientTDLinks
Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
☆36Updated 4 years ago
Alternatives and similar repositories for Regularized-GradientTD
Users that are interested in Regularized-GradientTD are comparing it to the libraries listed below
Sorting:
- Revisiting Rainbow☆75Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆87Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆86Updated 11 months ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆38Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆57Updated 2 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- krazy grid world☆25Updated 5 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆46Updated last year
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- A collection of RL algorithms written in JAX.☆100Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆94Updated 3 weeks ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 8 months ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- ☆84Updated 4 years ago
- ☆31Updated 4 years ago