arushijain94 / SafeOptionCritic
Safe Option-Critic: Learning Safety in the Option-Critic Architecture
☆18Updated 5 years ago
Related projects: ⓘ
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 4 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆30Updated 4 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆17Updated 2 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆24Updated last year
- Implementation of the Option-Critic Architecture☆37Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆37Updated last year
- ☆53Updated 6 months ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆15Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆25Updated 4 years ago
- ☆39Updated 3 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆15Updated 6 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated 2 weeks ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆49Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆24Updated 2 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 6 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆33Updated 5 years ago
- ☆29Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆22Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago